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Decision and Control, 2007 46th IEEE Conference on

Date 12-14 Dec. 2007

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Displaying Results 1 - 25 of 1056
  • 46th IEEE conference on decision and control

    Page(s): 3 - 30
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    Freely Available from IEEE
  • Program at a glance

    Page(s): 31 - 36
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    Freely Available from IEEE
  • Table of contents

    Page(s): 1 - 83
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    Freely Available from IEEE
  • Control problem for nonlinear systems given by Klein-Gordon-Maxwell equations with electromagnetic field

    Page(s): 6370 - 6375
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1195 KB) |  | HTML iconHTML  

    This paper is aim at realizing control for systems described by Klein-Gordon-Maxwell (K-G-M) equation. Theoretic approach will be formulated in the framework of variational theory. On the other hand, computational insight using semi-discrete numerical algorithm is consist of finite element method. Lastly, numerical experiments are evident the completely combination of theoretic and computation aspects. View full abstract»

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  • A novel dynamic fuzzy threshold preemption scheduling algorithm for soft real-time systems

    Page(s): 4584 - 4589
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (264 KB) |  | HTML iconHTML  

    In the context of least slack first scheduling, switching may frequently be caused. The extra overheads of preemptions among tasks debase the performance of soft real-time systems significantly. In this paper, we present a novel scheduling algorithm, named dynamic fuzzy threshold least slack first (DFTLSF) scheduling, which solved the switching problem when use least slack first scheduling algorithm in tasks. The notion of dynamic fuzzy threshold coefficient was defined to fuzzy the threshold dynamically. The slack time of the running task is reduced to its fuzzy threshold to avoid thrashing. Comparing to the traditional least slack first scheduling algorithm, the simulation results show that, the dynamic fuzzy preemption make the switching number of the novel algorithm smaller and the missed deadline percentage decreased. View full abstract»

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  • NMV optimal estimation for nonlinear discrete-time multi-channel systems

    Page(s): 4281 - 4286
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (194 KB) |  | HTML iconHTML  

    A nonlinear operator approach to estimation in discrete-time multivariable systems is described. It involves inferential estimation of a signal which enters a communications channel involving both nonlinearities and transport delays. The measurements are assumed to be corrupted by a colored noise signal which is correlated with the signal to be estimated. The system model also includes a communications channel involving hard or dynamic nonlinearities. The signal and noise channels are represented in a very general nonlinear operator form. The algorithm is relatively simple to derive and to implement. The optimal nonlinear estimator is derived in terms of the nonlinear operators that describe the system. The results are the dual of the nonlinear generalized minimum variance control problem that has been very successful in providing a practical simple algorithm for nonlinear processes. View full abstract»

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  • Linear programming based optimal dynamic quantizer synthesis for discrete-valued input control

    Page(s): 2253 - 2258
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (211 KB) |  | HTML iconHTML  

    This paper presents an optimal dynamic quantizer synthesis for controlling linear systems with the discrete-valued input. The quantizers considered here are in the form of a difference equation, for which we find quantizer parameters such that the system composed of a given linear plant and the quantizer is an optimal approximation of the linear plant in terms of the input-output relation. First, the performance of the dynamic quantizers is analyzed, and then a closed form expression of the performance is derived. Next, in spite of the nonconvexity of the design problem, a globally optimal solution is provided via linear programming. Finally, the validity of the proposed method is demonstrated by numerical simulations. View full abstract»

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  • Air fraction estimation for multiple combustion mode diesel engines with dual-loop EGR systems

    Page(s): 2862 - 2867
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (995 KB) |  | HTML iconHTML  

    This paper describes an observer-based air fraction estimation method for diesel engines with dual-loop exhaust gas recirculation (EGR) systems to conduct multiple and alternative combustion modes for significant engine emission reduction. An observer is designed to estimate the air fractions in all the engine intake/exhaust sections using standard sensors equipped on the engines. The observer provides indispensable information for the engine controller to exercise closed-loop control on in-cylinder conditions, in particular the high-pressure EGR gas and low-pressure EGR gas amounts and the ratio, which are crucial for engines running alternative combustion modes with dual- loop EGR systems. The convergence stability of the observer is proved based on a Lyapunov analysis assisted by physical insights into the engine systems. The observer is also experimentally evaluated on a modern light-duty diesel engine with a dual-loop EGR system. View full abstract»

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  • Asynchronous distributed searchlight scheduling

    Page(s): 4863 - 4868
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (327 KB) |  | HTML iconHTML  

    This paper develops and compares two asynchronous distributed scheduling algorithms for multiple controlled searchlights in nonconvex polygonal environments. A searchlight is a ray emitted by source location that (i) cannot penetrate the boundary of the environment and (ii) undergoes controlled slewing about its source location. Evaders move inside the environment along continuous trajectories and are detected precisely when they are on the searchlight ray at some time instant. The objective is for the searchlights to detect any evader in finite time and to do so using only local sensing and limited communication among them. The first algorithm we develop, called the distributed one way sweep strategy (DOWSS), is a distributed version of an algorithm described originally in 1990 by Sugihara et al [Sugihara, K., et al., 1990]; this algorithm may be slow in "sweeping" the environment because only one searchlight slews at a time. Second we develop an algorithm, called the parallel tree sweep strategy (PTSS), in which searchlights sweep concurrently under the assumption that they are placed in appropriate locations; for this algorithm we establish linear completion time. View full abstract»

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  • Target topology based task assignment for multiple mobile robots in adversarial environments

    Page(s): 5323 - 5328
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (471 KB) |  | HTML iconHTML  

    This paper is concerned with the task assignment problem for a team of mobile robots in adversarial environments. Based on the geometric topology of the targets, two key factors are defined: the impact factor and the suffering factor, and a stochastic assignment model based on these factors is built, through which the robots can exhibit temporal cooperation. To reduce the computational complexity, genetic algorithm is employed to optimize the relative weights of the impact factor and the suffering factor, and after that, the Improved Hungarian algorithm is used to solve the assignment problem. Simulation results demonstrate the effectiveness of the proposed method. View full abstract»

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  • Adaptive reliable guaranteed cost control of state-delayed systems via dynamic output feedback against actuator faults

    Page(s): 2651 - 2656
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (209 KB) |  | HTML iconHTML  

    This paper considers the problem of adaptive reliable guaranteed cost controller design for linear time-delay systems against actuator faults via dynamic output feedback. Based on indirect adaptive method, a new reliable dynamic output feedback controller is established. The controller gains are affinely dependent on the estimations of fault parameters, which are updating automatically according to the proposed adaptive laws. New delay-dependent sufficient conditions for the existence of the reliable guaranteed cost dynamic output feedback controller are derived in terms of linear matrix inequalities, which have less conservativeness than the corresponding reliable dynamic output feedback controller with fixed gains. An example is presented to show the effectiveness of the proposed method. View full abstract»

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  • Decentralized robust H output feedback control for value bounded uncertain large-scale interconnected systems

    Page(s): 3017 - 3022
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (434 KB) |  | HTML iconHTML  

    The design of decentralized robust Hinfin output feedback controller for the large-scale interconnected systems with value bounded uncertainties in the state, control input and interconnected matrices is investigated. A new bounded real lemma for the large-scale interconnected systems is obtained by Lyapunov stability theory and linear matrix inequality method. Based on the new bounded real lemma a sufficient condition for the existence of a decentralized robust Hinfin output feedback controller is derived. This condition is expressed as the feasibility problem of matrix inequalities. The controller which enables the closed-loop large-scale system robust stable and satisfies the given Hinfin performance is obtained by a homotopy iterative method. At last a numerical example is given to illustrate the effectiveness of the offered method. View full abstract»

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  • Integral input-to-state stability of the drive-train of a wind turbine

    Page(s): 6100 - 6105
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (250 KB) |  | HTML iconHTML  

    This paper investigates the stability of a variable- speed wind turbine operating under low to medium wind speed. The turbine is controlled to capture as much wind energy as possible. We concentrate on the mechanical level of the turbine system, more precisely on the drive-train with the standard quadratic generator torque controller. We consider the two-mass model for the drive-train, with the inputs being the deviation of the active torque from an arbitrary positive nominal value and the tracking error of the generator torque. We show that the turbine system is integral input-to-state stable. View full abstract»

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  • Delay-dependent H control for LPV systems with time delays

    Page(s): 2089 - 2093
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (242 KB) |  | HTML iconHTML  

    In this paper, the delay-dependent Hinfin control problem is considered for linear parameter-varying (LPV) systems with time-varying delays. By using new Lyapunov-Krasovskii functionals, some sufficient conditions on Hinfin performance analysis are given in terms of linear matrix inequalities (LMIs). Based on these conditions the state-feedback controller and the dynamical output-feedback controller are designed. A numerical example is included to illustrate the proposed method. View full abstract»

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  • Robust H control of time-delay systems with polytopic uncertainty

    Page(s): 6077 - 6081
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (238 KB) |  | HTML iconHTML  

    In this paper, an improved Hinfin performance criterion is derived for a class of time-delay systems. It partially rules out the technical restriction of using a single Lyapunov function, and therefore, is less conservative when used in robust performance analysis and synthesis problems. Based on the criterion, robust Hinfin state-feedback controller is designed. Furthermore, multichannel Hinfin dynamic output-feedback control problem is also considered. A numerical example is included to illustrate the obtained results. View full abstract»

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  • Disturbance rejection of switched discrete-time systems with saturation nonlinearity

    Page(s): 3170 - 3175
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (212 KB) |  | HTML iconHTML  

    This paper addresses the problem of disturbance rejection for switched discrete-time linear systems subject to actuator saturations. An analysis condition is derived based on the switched saturation-dependent Lyapunov functions (SS-DLF) under which trajectories starting from a level set will remain inside an outer level set. An algorithm is developed to estimate the maximal norm of the exogenous disturbance that can be rejected by systems. Furthermore, upper bound of regional L2-gain for exogenous disturbance is minimized. All the results are obtained by exploiting switched saturation-dependent Lyapunov functions (SSDLF) and presented in terms of linear matrix inequalities (LMIs). A numerical example is given to show the effectiveness of the proposed methods. View full abstract»

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  • Preventing control constraint violations by use of energy balances for a class of coupled systems: Applied to a power plant

    Page(s): 5435 - 5440
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (288 KB) |  | HTML iconHTML  

    In this paper a scheme is presented for preventing violations of control signal constraints in a class of coupled systems. The scheme is an add-on solution to the existing control system; it works like a fault tolerant scheme, by accommodating the problem then occurring. The proposed scheme recomputes the reference values to the system such that control signal constraint violations are avoided. The new reference values are found using an energy balance of the system. The scheme is intended to handle rarely occurring constraint violations, so the only concern is that the system should be stable and not to optimize performance during all conditions. The scheme is applied to an example with a coal mill pulverizing coal for a power plant. View full abstract»

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  • Platform for cooperation of multiple robotic fish — Robofish Water Polo

    Page(s): 1423 - 1428
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1629 KB) |  | HTML iconHTML  

    In this paper, we present the development of a multiple robotic fish cooperation system - robofish water polo, which is built on the basis of several multi-link biomimetic fish-like robots designed in our. The motivation of this work is that the capability of one single fish robot is often limited while there are many complex missions which should be accomplished by effective cooperation of multiple fish robots. Robofish water polo, as a novel platform of multiple robotic fish, can be applied to test and verify different algorithms and strategies for cooperation of multiple underwater robots. We have organized a two versus two competition to demonstrate the performance of this platform. View full abstract»

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  • FTC synthesis for nonlinear systems: Sum of squares optimization approach

    Page(s): 2645 - 2650
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (174 KB) |  | HTML iconHTML  

    This paper studies the fault tolerant control (FTC) problem for nonlinear systems, with guaranteed cost or Hinfin performance objective in the presence of actuator faults. The mode of faults under consideration is typical aberration of actuator effectiveness. To transform the FTC design problem into a semi-definite programming (SDP), the effect of the nonlinear terms is described as an index. The proposed optimization approach is to find zero optimum for this index. Combined with other performance indexes, the conceived multiobjective optimization is solved by sum of squares method (SOS) in a reliable and efficient way. Numerical examples are included to verify the applicability of this new approach for the nonlinear FTC synthesis. View full abstract»

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  • An indirect adaptive fuzzy approach for uncertain nonlinear SISO systems with disturbances

    Page(s): 4827 - 4832
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (256 KB) |  | HTML iconHTML  

    In this paper, an indirect adaptive fuzzy approach is proposed to achieve robust tracking for a class of uncertain nonlinear single input single output (SISO) systems with external disturbances. Adaptive fuzzy control, adaptive fuzzy identification and attenuation technique are incorporated together for the control objective. Based on the existing robust adaptive fuzzy control scheme, adaptive laws are modified by system modeling error to adjust the estimation parameters converge to their optimal values, which in turn improves the control to guarantee the convergence of output tracking error and modeling error. The effect of both optimal matching error and external disturbance on the controlled system can be attenuated. Desired performance is obtained under a low attenuation level, so the control effort can be enormously saved. Some simulation results are given to illustrate the effectiveness of the proposed approach. View full abstract»

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  • Fault detection observer design for linear discrete-time systems in finite frequency domain

    Page(s): 378 - 383
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (208 KB) |  | HTML iconHTML  

    This paper deals with the fault detection (FD) problem in finite frequency domain for linear time-invariant discrete-time systems with bounded disturbances. A fault detection observer is designed by employing two finite frequency performance indexes which are used to increase the fault sensitivity and attenuate the effects of disturbances. Faults are considered in the low frequency domain while disturbances are considered in certain finite frequency domain. With the aid of the Generalized Kalman-Yakubovich-Popov (GKYP) lemma, the design methods are presented in terms of solutions to a set of linear matrix inequalities (LMIs). Numerical examples are given to illustrate the effectiveness of the proposed method. View full abstract»

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  • Output regulation for sampled-data systems with application to marine systems

    Page(s): 1058 - 1063
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (167 KB) |  | HTML iconHTML  

    In this paper the output regulation problem for sampled-data systems with time-varying measurement matrices and constant exogenous signals is considered. Under the assumption that the regulator equation in the continuous-time case has a solution, a discrete-time output feedback controller is designed which fulfills output regulation. As an application, berthing control of a ship is discussed and simulation results are given to show the effectiveness of the controller. View full abstract»

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  • Fast algebraic impact times estimation for a linear system subject to unilateral constraint

    Page(s): 2701 - 2706
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (410 KB) |  | HTML iconHTML  

    In this study we propose an estimator for detecting impacts during the evolution of linear systems subject to unilateral constraint with only the measurement of the position (possibly corrupted by noise). The detection scheme is based on fast algebraic estimator methods. This work provides an estimator, which is independent to the knowledge of the constraint position. Some simulation results are given in the presence of noise. View full abstract»

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  • Intelligent decoupling control of nonlinear multivariable systems

    Page(s): 1350 - 1355
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (321 KB) |  | HTML iconHTML  

    In this paper, a dynamical decoupling control law is first presented. Then by introducing a lambdadegr difference operator, an intelligent decoupling control method using multiple models and neural networks (NNs) is developed. The intelligent decoupling control method includes a set of fixed decoupling controllers, a re-initialized neural network (NN) adaptive decoupling controller and a free-running NN adaptive decoupling controller. Theory analysis shows that the free-running NN adaptive decoupling controller can guarantee the bounded-input-bounded-output (BIBO) stability of the closed-loop system, while the multiple fixed decoupling controllers and the re-initialized NN adaptive decoupling controller are used to improve the system performance. To illustrate the method, the proposed design is applied to the 2.4 m x 2.4 m injector driven transonic wind tunnel system. Simulation results show the effectiveness and practicality of the proposed method. View full abstract»

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  • Optimal controller & capacity allocation co-design for networked control systems

    Page(s): 3090 - 3095
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (257 KB) |  | HTML iconHTML  

    This paper presents a framework for examining joint optimal channel-capacity allocation and controller design for networked control systems using store-and-forward networks in a discrete-time linear time-invariant setting. The resultant framework provides a systematic synthesis procedure for designing optimal distributed linear control laws for capacity-constrained networks and optimizing the allocation of the required capacity within the network graph. View full abstract»

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