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IEEE Transactions on Systems, Man, and Cybernetics: Systems

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Displaying Results 1 - 25 of 66

Publication Year: 2017, Page(s):C1 - 1038
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• IEEE Transactions on Systems, Man, and Cybernetics publication information

Publication Year: 2017, Page(s): C2
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• A Two-Stage Approach to Path Planning and Collision Avoidance of Multibridge Machining Systems

Publication Year: 2017, Page(s):1039 - 1049
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Owing to large production capacity and high efficiency, multibridge machining systems (MBMSs) have gained increasing attention in industry. Their multiple bridge machines work concurrently in their serially arranged and partially overlapping workspaces. To solve totally the job scheduling and collision resolution problems of MBMS, our prior work proposes a serial-colored traveling salesman problem... View full abstract»

• Mean-Square $H_\infty$ Consensus Control for a Class of Nonlinear Time-Varying Stochastic Multiagent Systems: The Finite-Horizon Case

Publication Year: 2017, Page(s):1050 - 1060
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This paper deals with the consensus control problem for a class of nonlinear discrete time-varying stochastic multiagent systems (MASs) over a finite horizon via static output feedback. The measurement output available for the controller is not only from the individual agent itself but also from its neighboring ones according to the given topology. The nonlinearities described by statistical means... View full abstract»

• The Role of the Thumb: Study of Finger Motion in Grasping and Reachability Space in Human and Robotic Hands

Publication Year: 2017, Page(s):1061 - 1070
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It is well acknowledged that the opposing thumb granted humans advanced manipulation capabilities. However, such a feature is not statistically quantified, and its representation is not formally addressed in robotics yet. This paper studies whether the displacement of the opposing thumb in humans is a determining factor for shaping the grip. Using statistical analysis of the variability of motion ... View full abstract»

• Event-Triggered $H_\infty$ Control for Continuous-Time Nonlinear System via Concurrent Learning

Publication Year: 2017, Page(s):1071 - 1081
Cited by:  Papers (1)
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In this paper, the ${H}_{\infty }$ optimal control problem for a class of continuous-time nonlinear systems is investigated using event-triggered method. First, the ${H}_{\infty }$ optimal control problem is formulated as a two-player zero-sum (ZS) diffe... View full abstract»

• Optimal Priority-Free Conditionally-Preemptive Real-Time Scheduling of Periodic Tasks Based on DES Supervisory Control

Publication Year: 2017, Page(s):1082 - 1098
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This paper presents a general discrete-event system (DES)-based hard periodic real-time task model. Based on supervisory control theory (SCT), an optimal priority-free real-time scheduling technique is proposed to process all the tasks running in uniprocessor or multiprocessor real-time systems (RTS). The preemption relation in this paper generalizes priority-based preemption. First, regular langu... View full abstract»

• Using Node Centrality and Optimal Control to Maximize Information Diffusion in Social Networks

Publication Year: 2017, Page(s):1099 - 1110
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We model information dissemination as a susceptible-infected epidemic process and formulate a problem to jointly optimize seeds for the epidemic and time varying resource allocation over the period of a fixed duration campaign running on a social network with a given adjacency matrix. Individuals in the network are grouped according to their centrality measure and each group is influenced by an ex... View full abstract»

• Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System

Publication Year: 2017, Page(s):1111 - 1122
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Digital signal processing algorithms are widely adopted in motor bearing fault diagnosis. However, most algorithms are developed on desktop platforms, and their focus is on the analysis of offline captured signals. In this paper, a simple and easily implemented algorithm running on an embedded system is proposed for the online fault diagnosis of motor bearing. The core part of the algorithm is a s... View full abstract»

• Coordinated Motion/Force Control of Multiarm Robot With Unknown Sensor Nonlinearity and Manipulated Object’s Uncertainty

Publication Year: 2017, Page(s):1123 - 1134
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To achieve satisfying motion/force objectives, it is required for the multiarm robot manipulation to tackle unknown nonlinearities and uncertainties. Existing control schemes have a requirement that the deadzone nonlinearity in the sensor channel could be ignored. However, the sensor deadzone is widely spread in real world applications; and its existence significantly limits the robotic performanc... View full abstract»

• A Supervised Learning and Control Method to Improve Particle Swarm Optimization Algorithms

Publication Year: 2017, Page(s):1135 - 1148
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This paper presents an adaptive particle swarm optimization with supervised learning and control (APSO-SLC) for the parameter settings and diversity maintenance of particle swarm optimization (PSO) to adaptively choose parameters, while improving its exploration competence. Although PSO is a powerful optimization method, it faces such issues as difficult parameter setting and premature convergence... View full abstract»

• Modeling and Identification of Nonlinear Systems: A Review of the Multimodel Approach—Part 1

Publication Year: 2017, Page(s):1149 - 1159
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The efficacy of the multimodel framework (MMF) in modeling and identification of complex, nonlinear, and uncertain systems has been widely recognized in the literature owing to its simplicity, transparency, and mathematical tractability, allowing the use of well-known modeling analysis and control design techniques. The approach proved to be effective in addressing some of the shortcomings of othe... View full abstract»

• Modeling and Identification of Nonlinear Systems: A Review of the Multimodel Approach—Part 2

Publication Year: 2017, Page(s):1160 - 1168
| | PDF (1063 KB)

The efficacy of the multimodel framework (MMF) in modeling and identification of complex, nonlinear, and uncertain systems has been widely recognized in the literature owing to its simplicity, transparency, and mathematical tractability, allowing the use of well-known modeling analysis and control design techniques. The approach proved to be effective in addressing some of the shortcomings of othe... View full abstract»

• Development of Sensory-Motor Fusion-Based Manipulation and Grasping Control for a Robotic Hand-Eye System

Publication Year: 2017, Page(s):1169 - 1180
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In this paper, a sensory-motor fusion-based manipulation and grasping control strategy has been developed for a robotic hand-eye system. The proposed hierarchical control architecture has three modules: 1) vision servoing; 2) surface electromyography (sEMG)-based movement recognition; and 3) hybrid force and motion optimization for manipulation and grasping. A stereo camera is used to obtain the 3... View full abstract»

• A Framework for Predicting Future System Performance in Autonomous Unmanned Ground Vehicles

Publication Year: 2017, Page(s):1192 - 1206
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The development of complex self-adaptive systems has accelerated rapidly over the past decade, led by the Department of Defense, which has sought to develop and field military systems, such as unmanned aerial vehicles and unmanned ground vehicles, with elevated levels of autonomy to accomplish their mission with reduced funding and manpower. As their role increases, such systems must be able to ad... View full abstract»

• Error Bound Analysis of $Q$ -Function for Discounted Optimal Control Problems With Policy Iteration

Publication Year: 2017, Page(s):1207 - 1216
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In this paper, we present error bound analysis of the ${Q}$ -function for the action-dependent adaptive dynamic programming for solving discounted optimal control problems of unknown discrete-time nonlinear systems. The convergence of ${Q}$ -functions deri... View full abstract»

• An Affection-Based Dynamic Leader Selection Model for Formation Control in Multirobot Systems

Publication Year: 2017, Page(s):1217 - 1228
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In this paper, a dynamic leader selection process of a multirobot system with leader–follower strategies is studied in terms of formation control. A fuzzy inference system is employed to evaluate the status of robots by means of their states. Based on the status, an affection-based model is proposed to trigger a leader selection module. Followers send out unsatisfied signals when they are d... View full abstract»

• Chaos and Bifurcation Control of Torque-Stiffness-Controlled Dynamic Bipedal Walking

Publication Year: 2017, Page(s):1229 - 1240
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This paper focuses on chaos control of a seven-link torque-stiffness-controlled dynamic walking model, actuated by a bio-inspired control system. The biped consists of compliant hip, knee and ankle joints and flat feet. We employed Ott–Grebogi–Yorke and delayed feedback control methods, responsible for small errors around the equilibrium solution and large errors far away, respective... View full abstract»

• Method of Reduction of Variables for Bilinear Matrix Inequality Problems in System and Control Designs

Publication Year: 2017, Page(s):1241 - 1256
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Bilinear matrix inequality (BMI) problems in system and control designs are investigated in this paper. A solution method of reduction of variables (MRVs) is proposed. This method consists of a principle of variable classification, a procedure for problem transformation, and a hybrid algorithm that combines deterministic and stochastic search engines. The classification principle is used to classi... View full abstract»

• Prescribed Performance Switched Adaptive Dynamic Surface Control of Switched Nonlinear Systems With Average Dwell Time

Publication Year: 2017, Page(s):1257 - 1269
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In this paper, the problem of adaptive fuzzy tracking control is investigated for a class of switched nonlinear systems. A new switched adaptive output feedback control method is presented where the changes of plant can be considered explicitly. Mode-dependent fuzzy logic systems are employed to approximate the switching nonlinear functions in system. To reduce the conservativeness caused by adopt... View full abstract»

• Global Cooperative Control Framework for Multiagent Systems Subject to Actuator Saturation With Industrial Applications

Publication Year: 2017, Page(s):1270 - 1283
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This paper proposes a global cooperative control framework to address leader-follower consensus of constraints subsystems of industrial plants, in which each subsystem is modeled as an agent and all the subsystems and networks of information flow construct a multiagent system. The focus of this paper is to solve the global leader-follower consensus for multiagent systems with input saturation via ... View full abstract»

• Multiagent Framework for Smart Grids Recovery

Publication Year: 2017, Page(s):1284 - 1300
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Failure propagation in smart grids (SGs) complicates and prolongs the recovery time as the faults to be resolved increase. This paper presents the design and implementation of a framework for SGs modeling, simulation, and recovery. The proposed approach is based on a multiagent system composed of static and mobile agents to ensure local and remote resolutions. The efficiency and completeness of th... View full abstract»

• Single-Objective Path Planning for Autonomous Robots Using Reconfigurable Analog VLSI

Publication Year: 2017, Page(s):1301 - 1314
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This paper presents path planning using reconfigurable analog very large scale integrated (AVLSI) circuits. Existing research has shown that custom AVLSI circuits known as application specific integrated circuits (ASICs) can theoretically be used for path planning. There are two main drawbacks to using custom ASICs: 1) circuit designs are fixed to some extent (not changeable) and 2) long design cy... View full abstract»

• Adaptive Neural Backstepping for a Class of Switched Nonlinear System Without Strict-Feedback Form

Publication Year: 2017, Page(s):1315 - 1320
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This paper focuses on backstepping-based adaptive neural control for switched nonlinear systems in nonstrict-feedback form. A structural characteristic of radial basis function neural networks is first developed. With this structural characteristic, adaptive neural backstepping has been extended to the switched nonlinear systems with nonstrict-feedback structure. By using a common Lyapunov functio... View full abstract»

• Cooperative Traffic Control With Green Wave Coordination for Multiple Intersections Based on the Internet of Vehicles

Publication Year: 2017, Page(s):1321 - 1335
| | PDF (2012 KB)

Traffic congestion is a critical concern in most cities. Inefficient traffic control wastes time and fuel, and causes harmful carbon emissions, road accidents, and many economic problems. This paper proposes a cooperative traffic control framework for optimizing the global throughput and travel time for multiple intersections. Adjacent intersections are considered in analyzing their joint passing ... View full abstract»

Aims & Scope

 The scope of the IEEE Transactions on Systems, Man, and Cybernetics: Systems includes the fields of systems engineering.

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Meet Our Editors

Editor-in-Chief
C. L. Philip Chen
The University of Macau