By Topic

Networking, Sensing and Control, 2009. ICNSC '09. International Conference on

Date 26-29 March 2009

Filter Results

Displaying Results 1 - 25 of 181
  • [Front cover]

    Save to Project icon | Request Permissions | PDF file iconPDF (546 KB)  
    Freely Available from IEEE
  • [Copyright notice]

    Page(s): 1
    Save to Project icon | Request Permissions | PDF file iconPDF (107 KB)  
    Freely Available from IEEE
  • Sampled-data control and its applications to digital signal processing: Beyond the shannon paradigm

    Page(s): 1
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (439 KB)  

    There has been remarkable progress in sampled-data control theory in the last decade. The main accomplishment here is that there exists a digital (discrete-time) control law that takes the intersample behavior into account and makes the overall analog (continuous-time) performance optimal, in the sense of H-infinity norm. The same hybrid nature of designing a digital filter for analog signals is also prevalent in digital signal processing. A crucial observation is that the perfectly band-limited hypothesis, widely accepted in the signal processing literature, is often inadequate for many practical situations. In practice, the original analog signals (sounds, images, etc.) are neither fully band-limited nor even close to be band-limited in the current processing standards. This is the problem of interpolating high-frequency components, which in turn is that of recovering the intersample behavior. Sampled-data control theory provides an optimal platform for such problems. This talk provides a new problem formulation, design procedure, and various applications in sound processing/compression and image processing. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Signal classification and cognitive sensor network

    Page(s): 2
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (473 KB)  

    Signal classification is an important subject for military radio communications. With the revolution of digitizing communications ever closer to the antenna, commercial cognitive radios with programmable modulation schemes and adaptive transmission rates have become a practical wireless communication platform. Signal classification techniques have attracted much attention recently by the cognitive network applications in developing the next generation radio receivers and sensor networks with built-in automatic signal detection and classification capabilities. However, the technical expectations and goals in commercial applications are quite different with that in military communication systems. A key research area is to develop new algorithms with the low-cost real-time adaptive demodulation capability. An overview of automatic signal classification techniques and the challenges in migrating current signal classification methods into the cognitive radios and sensor network will be discussed. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Wearable power assist robot driven with pneumatic rubber artificial muscles

    Page(s): 3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (478 KB)  

    Summary form only given. In the coming advanced age society, an innovative technology to assist the activities of daily living of elderly and disabled people and the heavy work in nursing is desired. A wearable power assist robot is one of effective approaches as such technology, which is equipped to the human body to assist the muscular force. Since this kind of robot directly acts on the human body, it should be friendly for human, so should be small, lightweight and has to provide a proper softness. A pneumatic rubber artificial muscle is effective for such requirements. We have developed some types of pneumatic rubber artificial muscles and applied them to the wearable power assist robot. In this talk, some types of rubber artificial muscles developed and manufactured in our laboratory are introduced. Further, some kinds of wearable power assist robots, for example, power assist glove, power assist device for standing up motion, power assist wear like clothes, are introduced. Experiments clarify the effectiveness of pneumatic rubber artificial muscles for an innovative human assist technology. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Optimal operation and feedback control for complex industrial process

    Page(s): 4 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (813 KB)  

    With ever increased needs for an improved product quality, production efficiency, and cost in today's globalized world market, advanced process control should not only realize the accuracy of each control loops, but also has the ability to achieve an optimization control of production indices that are closely related to the improved product quality, enhanced production efficiency and reduced consumption. As a result, the optimal control of complex industrial process has attracted an increased attention of various process industries. This paper firstly introduces the research stare-of-art and existing problems for optimal operation of industrial processes, and then presents the meanings for optimal operation control. In view of the characteristics of complex industrial processes, a hybrid intelligent control method for optimal operation is proposed, which is composed of a control loop pre-setting model, a feed-forward and feedback compensators, a production index prediction model, and a fault working-condition diagnosis unit plus a fault-tolerant control model. When production condition and working condition changes, this method can adjust the set points of control loops adaptively so that production index can be controlled in its target range. This paper also presents an application case study of this method in the roasting process of a shaft furnace for the ore concentration industry. Shaft furnace is a facility which is used widely in the ore concentration industry to turn the weak-magnetic low-grade hematite ore into strong-magnetic one. The target of optimal operation control for the roasting process of shaft furnace is to control the production indices, namely the magnetic tube recovery ratio (MTRR) that represents the quality, the efficiency, and the consumption of the product processing, close to its target value within limited ranges, and to make it as high as possible. The proposed optimal operation control method in this paper has been applied to the roas- ting process undertaken by 22 shaft furnace in Jiugang Ore Concentration plant of China. It has been shown that the MTRR is controlled to the rational range around the target value, with a result of 2% increase; the equipment's operation ratio is enhanced by 2.98%, resulting in a raise of 0.57% in concentrated grade and 2% in metal recovery rate. Such an industrial application has successfully demonstrated the performance of the proposed optimal control method which will therefore has a high potential for further and much wider applications. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Content announce

    Page(s): 1
    Save to Project icon | Request Permissions | PDF file iconPDF (79 KB)  
    Freely Available from IEEE
  • Author index

    Page(s): 1 - 5
    Save to Project icon | Request Permissions | PDF file iconPDF (2102 KB)  
    Freely Available from IEEE
  • IEEE ICNSC'09 Organizing Committee and Program Committee

    Page(s): 1 - 2
    Save to Project icon | Request Permissions | PDF file iconPDF (295 KB)  
    Freely Available from IEEE
  • Abstract

    Page(s): 1 - 35
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (7160 KB)  

    First Page of the Article
    View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Contents

    Page(s): 1 - 9
    Save to Project icon | Request Permissions | PDF file iconPDF (4879 KB)  
    Freely Available from IEEE
  • Improved backoff algorithm for IEEE 802.11 networks

    Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2720 KB) |  | HTML iconHTML  

    A mobile ad hoc network (MANET) is a collection of mobile nodes interconnected by wireless media. Several protocols have been proposed to manage multiple access to the shared wireless medium in MANETs, with the IEEE 802.11 being the most implemented protocol. Several approaches have been suggested to improve QoS in the famous IEEE 802.11 MANETs through modifying some of the IEEE 802.11 medium access control (MAC) algorithms, such as the backoff algorithm that is used to control the packets collision aftermath. In this work, an adaptive IEEE 802.11 history based adaptive backoff (HBAB) algorithm to improve QoS is developed and tested in simulations. The protocol modifies the IEEE 80211 backoff algorithm, which is used to control the contention window in the case of collisions, in order to provide a better QoS performance according to the network status and condition. The new algorithm has been tested against the legacy IEEE 802.11 through simulations using QualNet. The tests have shown significant improvements in performance, with up to 33.51% improvement in delay and 7.36% improvement in packet delivery fraction compared to the original IEEE 802.11. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Predictive multirate control with random network-induced delays

    Page(s): 13 - 18
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2588 KB) |  | HTML iconHTML  

    This paper investigates the problem of model predictive control for networked multirate control systems (NMCSs) with the output sampling period several times larger than the input updating period. Both sensor-to-controller and controller-to-actuator network-induced delays are considered and are assumed to be upperbounded by one output sampling period. Firstly, using a modified multirate model predictive control scheme, where the future control sequence is used to compensate for the network-induced time delays, the closed-loop NMCSs are described as switched systems. Sufficient stability conditions are established via a switched Lyapunov function approach. Then, a controller design method for stabilizing NMCSs is proposed based on a finite input and state horizon cost with a finite terminal weighting matrix. The feedback gain matrix dependent of every sampling output can be obtained by solving linear matrix inequalities (LMIs). Finally, an illustrative example is provided to show the effectiveness of the proposed method. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Wireless joystick control for human adaptive mechatronics applications: Case trolley crane

    Page(s): 19 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3343 KB) |  | HTML iconHTML  

    This paper describes the implementation of a wireless joystick control for a laboratory-scale trolley crane system. The proposed wireless joystick control system can be used for both educational and research purposes for topics such as human control characteristics identification, human skill evaluation, human control under communication uncertainty etc. Preliminary tests for human controller identification are carried out. The results will serve as a basis for developing human adaptive mechatronics (HAM) methods for the particular trolley crane system as well as for other human operated machines. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive position tracking control of a bldc motor using a recurrent wavelet neural network

    Page(s): 25 - 30
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2858 KB) |  | HTML iconHTML  

    An adaptive position tracking control (APTC) system, which is composed of a neural controller and a robust controller, is proposed in this paper. The neural controller uses the recurrent wavelet neural network structure to online mimic an ideal controller, and the robust controller is designed to achieve L2 tracking performance with desired attenuation level. The adaptive laws of APTC system are derived based on the Lyapunov stability theorem and gradient decent method. Finally, the proposed APTC method is applied to a brushless DC (BLDC) motor. Experimental results verify that a favorable tracking response can be achieved by the proposed APTC method even under the change of position command frequency after training of RWNN. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Virtual sensing techniques and their applications

    Page(s): 31 - 36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2715 KB) |  | HTML iconHTML  

    Developing new sensing technologies to obtain desired and accurate information more effectively from the limited sensor positions is one of the critical challenges that scientists and engineers aspire to undertake in the 21st century. This paper surveys applications of virtual sensing in different fields, e.g., transportation, wireless communication, sensor networks and active noise control. It reviews the existing methods used to infer virtual sensing information. The virtual sensing techniques and their application in active noise control are especially discussed. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Nonlinear estimation fusion in distributed passive sensor networks

    Page(s): 37 - 42
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2936 KB) |  | HTML iconHTML  

    The focus of the paper is to present the nonlinear estimation fusion in distributed passive sensor networks which include multiple maneuverable aircrafts with onboard direction finder in each one to execute surveillance over the certain area. The main issue addressed in this research is to construct the hierarchical architecture which consists of passive sensors, local processors, and global processor. The tracking is performed in both Cartesian and modified spherical coordinates (MSC). The state estimate is available from each local processor which processes angle-only measurements using the extend Kalman filter (EKF). In global processor, a weighted least squares (WLS) estimator utilizes the filter covariance matrices which transformed from MSC to reference Cartesian coordinates to compute each filter weight for combining the corresponding local processor outputs. The EKF encounters slow convergence problem under realistic over flight scenarios, where the lateral sightline motion inputs are mild. By using the data fusion technique, the convergence of the WLS estimator is greatly accelerated. Both typical cases target motion analysis and emitter location are investigated through simulations, the results show that the proposed approach compared with the EKF has dramatically improved roughly about averaged 98% and 92% in position and velocity estimations, respectively. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust state estimation for systems with irregular sensing failure

    Page(s): 43 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4081 KB) |  | HTML iconHTML  

    This paper proposes a method for robust state estimation for systems with irregular sensing failure. It is natural that non-contact sensors sometimes give abnormal signals (outliers) due to sensing failure. The proposed estimator switches observer gains to select normal signals based on residual values between estimation and observation. A common Lyapunov function ensures stability of the switching observer, as well as its noise property. A numerical simulation and experiment are performed to illustrate the effectiveness of the proposed method. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • PiccSIM Toolchain - design, simulation and automatic implementation of wireless networked control systems

    Page(s): 49 - 54
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2744 KB) |  | HTML iconHTML  

    This paper presents the PiccSIM Toolchain: a graphical user interface with design tools for the network and control co-simulation platform PiccSIM. The proposed tool-chain enables easy network and control design and improved co-simulation via an integrated graphical user interface. It supports implementation of the simulated algorithms on actual wireless sensor network nodes. The developments presented here include automatic network configuration script generation for the ns-2 network simulator, control design and tuning tools, and automatic code generation from Simulink models to wireless sensor nodes. It also summarizes several improvements to the PiccSIM simulation tool, such as network and control simulation synchronization, and extensions, e.g., network indoor shadowing model, done to the platform. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Micro Sensor Routing Protocol in IPv6 wireless sensor network

    Page(s): 55 - 59
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2588 KB) |  | HTML iconHTML  

    In this paper, we propose a new routing protocol named micro sensor routing protocol (MSRP) in IPv6 wireless sensor network. MSRP is implemented in network layer and can simplify significantly routing mechanism. Also, we simplify the routing message and remove source and destination nodes' sequence numbers and reduce route request (RREQ) ID length. Route reply (RREP) is created only by the destination node. Intermediate node will broadcast received RREQ messages even there exists a route to the destination node. In addition, we design a simple route error report mechanism and solve the problem of link state maintenance mechanism of AODV. Finally, we develop a simulation module and integrate MSRP protocol into NS-2. Compared to AODV routing protocol, our proposed protocol has better performance with low overhead, quick convergence. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Reducing the transmission and reception powers in the AODV

    Page(s): 60 - 65
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2648 KB) |  | HTML iconHTML  

    The transmission power and the reception power are the main source of energy consumption in wireless sensor nodes. Therefore, reducing the amount of consumed power through the transmission and reception processes in the routing protocol will lead to an increase in the lifetime of the wireless sensor network and distribute the consumed power among the wireless sensor nodes. This paper proposes a mechanism to reduce the transmission and reception power for the frequently used nodes. This proposed techniques and a hybrid technique with the power consumption distribution technique in have been compared to the original Ad hoc On-Demand Distance Vector (AODV) routing protocol. Simulation results based on NS-2 showed that the hybrid technique and the proposed mechanism have better performance than the original AODV routing protocol. The new mechanism and the hybrid technique have increased the lifetime of the wireless sensor network by around 40%, and 70% respectively. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Double Parasols Neural Network and its application to nonlinear discrete time systems

    Page(s): 66 - 70
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2692 KB) |  | HTML iconHTML  

    A new neural network, double parasols neural network, is proposed here which is similar to a multilayered neural network, but is derived from an interconnected neural network. EBP-EWLS method can be used as a learning algorithm. The proposed network is considered as a generalization of a regressor model for linear systems to nonlinear systems. Using this network, identification and control are examined for nonlinear discrete time systems to present a validity of the proposed method. Control method used here is a target following control (TFC) which is also the original work of authors. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive stabilization of networked control systems with delays and packet losses

    Page(s): 71 - 76
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2740 KB) |  | HTML iconHTML  

    Since data packet losses and network-induced delays might be potential sources to instability and poor performance of networked control systems, the main objective of this paper is to design an adaptive stabilizing controller for networked systems with time-varying network-induced delay and packet loss. With the continuous-time approach, the case of state feedback is studied in which a new adaptive control model in the presence of network-induced delay and packet dropout is proposed. The problem is to find upper bounds on the sampling period, the network-induced delay, and the transmission packet loss, to guarantee stability of the overall adaptive networked control systems. The resulting upper bounds are time varying and can be estimated online. Rigorous mathematical proofs are established, that relies heavily on Lyapunov's stability criterion and its extensions. Simulation results are given to illustrate the efficacy of our design approach. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An adaptive algorithm for dynamic routing in WDM networks using congestion threshold

    Page(s): 77 - 80
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2667 KB) |  | HTML iconHTML  

    In this paper, a new dynamic routing algorithm, threshold-based least congestion routing (TLCR), over WDM networks is proposed. In comparison with previous dynamic routing algorithms, TLCR is more flexible and efficient without sacrificing performance in terms of blocking probability. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Model output following control of a networked thermal process

    Page(s): 81 - 86
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2584 KB) |  | HTML iconHTML  

    In this paper, model output following control based on command generator tracker is designed and applied to networked aluminum plate thermal process. One of the most important problems on networked system is the time delay problem. An explorative technique is that time delay is approximated as high order rational transfer functions. Therefore, the approximated high order system must be analyzed. Model output following control based on command generator tracker is proposed. The appeal of this method is that it does not require the reference model to be of the same order as the plant and the knowledge of the plant order is not needed. However, alternate assumptions are needed to ensure closed-loop stability. One of them is almost strictly positive real condition such that robust parallel compensator is designed to transform the approximated plant with high order lag elements into almost strictly positive real. Finally, simulation and experimental results show the effectiveness of the proposed design scheme. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.