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Consensus control of Leader-Following Multi-Agent systems in Directed Topology With Heterogeneous Disturbances

IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 423-431页

作者： Qinglai Wei Xin Wang Xiangnan Zhong Naiqi Wu the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049and also with Qingdao Academy of Intelligent IndustriesQingdao 266109China the Department of Computer and Electrical Engineering and Computer Science Florida Atlantic UniversityBoca Raton FL33431 USA the Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and SystemsMacao University of Science and TechnologyMacao 999078China

This paper investigates the consensus problem for linear multi-agent systems with the heterogeneous disturbances generated by the Brown *** main contribution is that a control scheme is designed to achieve the dynamic consensus for the multi-agent systems in directed topology interfered by stochastic *** traditional ways,the coupling weights depending on the communication structure are static.A new distributed controller is designed based on Riccati inequalities,while updating the coupling weights associated with the gain matrix by state errors between adjacent *** introducing time-varying coupling weights into this novel control law,the state errors between leader and followers asymptotically converge to the minimum value utilizing the local *** the Lyapunov directed method and It?formula,the stability of the closed-loop system with the proposed control law is *** simulation results conducted by the new and traditional schemes are presented to demonstrate the effectiveness and advantage of the developed control method.

关键词： Consensus control directed topology external disturbance multi-agent(MA)systems

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking

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IEEE Transactions on Signal Processing 2025年

作者： Chen, Jun Liu, Lina Zhu, Tianyi Liu, Yong Dai, Guang Jiang, Yunliang Tsang, Ivor W. Zhejiang Normal University National Special Education Resource Center for Children with Autism Hangzhou311231 China Zhejiang Normal University School of Computer Science and Technology Jinhua321004 China China Mobile Research Institute Beijing100032 China Zhejiang University Institute of Cyber-Systems and Control Hangzhou310027 China State Grid Corporation of China SGIT AI Lab China Zhejiang Normal University Zhejiang Key Laboratory of Intelligent Education Technology and Application Jinhua321004 China Huzhou University School of Information Engineering Huzhou313000 China Centre for Frontier Artificial Intelligence Research A*STAR Singapore

This paper considers the problem of decentralized optimization on compact submanifolds, where a finite sum of smooth (possibly non-convex) local functions is minimized by n agents forming an undirected and connected graph. However, the efficiency of distributed optimization is often hindered by communication bottlenecks. To mitigate this, we propose the Quantized Riemannian Gradient Tracking (Q-RGT) algorithm, where agents update their local variables using quantized gradients. The introduction of quantization noise allows our algorithm to bypass the constraints of the accurate Riemannian projection operator (such as retraction), further improving iterative efficiency. To the best of our knowledge, this is the first algorithm to achieve an O(1/K) convergence rate in the presence of quantization, matching the convergence rate of methods without quantization. Additionally, we explicitly derive lower bounds on decentralized consensus associated with a function of quantization levels. Numerical experiments demonstrate that Q-RGT performs comparably to non-quantized methods while reducing communication bottlenecks and computational overhead. © 1991-2012 IEEE.

关键词： Iterative methods

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Design of a Remote controlled Puppet Robot Imitating a Manual Driven Puppet Using Deep Learning Pose Detection 12

Design of a Remote Controlled Puppet Robot Imitating a Manua...

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12th RSI International Conference on Robotics and Mechatronics, ICRoM 2024

作者： Hamzeh, Hamed Shahroozi, Kiarash Nabipour, Ahmad Kazemi, Parham Malek-Zahedi, Mohammad Hallajian, Mehdi Moradia, Hadi School of Electrical and Computer Engineering College of Engineering University of Tehran Advanced Robotics and Intelligent Systems Laboratory Iran

ISBN: (纸本)9798331529734

Traditional puppet manipulation systems often require human operators to be physically present in tight and cramped locations. This leads to challenges in the positioning and effective operation of puppets, particularly in the presence of children in educational settings. In this paper, we present the design, development, and integration of a cost-effective robotic system for remotely manipulating puppets in real-time. Additionally, the system integrates a YOLOv8 Pose Detection model, trained on a custom dataset with an accuracy of 91.4%, enabling real-time gesture recognition and allowing the robot to be controlled by imitating the motions of a manually operated puppet. The system demonstrates the potential for many applications, including interactive entertainment, teleoperation, and education. © 2024 IEEE.

关键词： Gesture recognition

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Variable selection in identification of a high dimensional nonlinear non-parametric system

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control Theory and Technology 2015年第1期13卷 1-16页

作者： Er-Wei BAI Wenxiao ZHAO Weixing ZHENG Department of Electrical and Computer Engineering University of Iowa School of Electronics Electrical Engineering and Computer Science Queen's UniversityBelfast U.K. Key Laboratory of Systems and Control Academy of Mathematics and Systems Science National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of Sciences School of Computing Engineering and Mathematics University of Western Sydney

The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Then its connections to various topics and research areas are briefly discussed, including order determination, pattern recognition, data mining, machine learning, statistical regression and manifold embedding. Finally, some results of variable selection in system identification in the recent literature are presented.

关键词： System identification variable selection nonlinear non-parametric system curse of dimensionality

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A multiple Lyapunov function approach for robust H∞ observer-based tracking control of uncertain T-S fuzzy systems

A multiple Lyapunov function approach for robust H∞ observe...

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2011 2nd International Conference on control, Instrumentation and Automation, ICCIA 2011

作者： Asemani, M.H. Majd, V.J. Mobayen, S. Intelligent Control Systems Lab. School of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781467316903

In this paper, the problem of robust H∞ fuzzy observer-based tracking control for the uncertain T-S fuzzy systems with external disturbances is addressed. The robust stability synthesis is based on the descriptor redundancy approach. Linear matrix inequalities (LMIs) are proposed for the design of the observer-based controller. Less conservative design conditions are obtained using a multiple Lyapunov function approach. It is assumed that the derivatives of the grades of the fuzzy membership functions exist and have lower bounds. This assumption is not restrictive in many T-S fuzzy models. Unlike the previous design method for robust H∞ fuzzy observer-based tracking controller which needs four prescribed scalar variables, the proposed method in this paper gives strict linear matrix inequalities. Moreover, in order to cover a more general problem, it is assumed that there exist uncertainties in local system, input and output matrices simultaneously for the uncertain T-S fuzzy system. A numerical example is used to show the effectiveness of the proposed method. © 2011 IEEE.

关键词： Linear matrix inequalities

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Selection of nonlinear function in integral sliding mode-based composite nonlinear feedback method for transient improvement of uncertain linear systems

Selection of nonlinear function in integral sliding mode-bas...

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2011 2nd International Conference on control, Instrumentation and Automation, ICCIA 2011

作者： Mobayen, Saleh Majd, Vahid J. Asemani, Mohammad Hassan Intelligent Control Systems Lab. School of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781467316903

The objective of this paper is to combine the composite nonlinear feedback and integral sliding mode strategies for fast and accurate robust tracking of a class of linear systems subject to uncertainties. In fact, the theory of integral sliding mode-based composite nonlinear feedback method is presented such that the resulting controlled output would track a target reference as fast as possible with small overshoot and without any steady state bias. The proposed control method retains the actual structure of composite nonlinear feedback controller in following the reference trajectory within a given accuracy and the invariance property of integral sliding mode method in rejecting disturbances and at the same time preserves the stability of the whole system. Also, a collection of nonlinear functions in different forms are studied to improve the reference tracking performance of the system. Simulation results show that the control law designed by this approach yields excellent performance. © 2011 IEEE.

关键词： Linear systems

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Robust H∞ observer-based control of uncertain T-S fuzzy systems with control constraints

Robust H∞ observer-based control of uncertain T-S fuzzy sys...

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20th Iranian Conference on electrical engineering, ICEE 2012

作者： Asemani, M.H. Johari Majd, V. Mobayen, S. Intelligent Control Systems Lab. School of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781467311489

This paper addresses the problem of H∞ fuzzy observer-based non-PDC controller design for uncertain T-S fuzzy systems with external disturbances. The synthesis of the observer-based controller is based on a fuzzy Lyapunov function and the descriptor redundancy approach. Moreover, the design is extended for the problem with control constraint. The observer and controller gains are obtained by solving some strict linear matrix inequalities (LMIs). The validity of the proposed method is shown via a numerical example. © 2012 IEEE.

关键词： Linear matrix inequalities

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Path planning for localization of an RF source by multiple UAVs on the Crammer-Rao lower bound

Path planning for localization of an RF source by multiple U...

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2013 1st RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2013

作者： Dehghan, Seyyed M. Mehdi Tavakkoli, Mohammad Saberi Moradi, Hadi Advanced Robotics and Intelligent Systems Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781467358118

This paper presents a path planning approach of several UAVs for Radio Frequency (RF) source localization in None Line Of Sight (NLOS) propagation condition using the Received Signal Strength Indication (RSSI). The paths are planned such that the lower bound of standard deviation of localization error, which is equivalent to the Cramer-Rao Lower Bound (CRLB) of the estimation, minimized at any time. Due to the complexity of Jacobin calculation to perform global CRLB optimization, the local values of CRLBs in the current waypoint and next probable waypoints are used in the steepest decent approach to determine the best path. Furthermore, the complexity is reduced by discretizing the space for UAVs to make the computation feasible. The effect of NLOS propagation on the RSSI measurements is simulated by a log-normal distribution and the last estimation of radio source location is used to calculate the local CRLBs. The proposed approach has been simulated and compared with the basic bio-inspired approach of going toward the sensed direction of the source. The result shows better performance than the basic approach. © 2013 IEEE.

关键词： Antennas

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A multi-step Gaussian filtering approach to reduce the effect of non-Gaussian distribution in aerial localization of an RF source in NLOS condition

A multi-step Gaussian filtering approach to reduce the effec...

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2013 1st RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2013

作者： Dehghan, Seyyed M. Mehdi Moradi, Hadi Advanced Robotics and Intelligent Systems Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781467358118

The hybrid localization using Angle of Arrival (AOA) and Received Strength Signal Indicator (RSSI) of an RF source, such as a cell phone in a search and rescue mission, with unknown power and None Line Of Sight (NLOS) condition have been proven to be advantageous compared to using each method separately. The hybrid approach has been proposed to benefit from both RSSI and AOA measurements. In this paper, the initial hybrid method, which was implemented using particle filters due to the multi-modal/non-Gaussian nature of localization in NLOS condition, has been replaced by a multi-step Gaussian filtering approach which provides nearly similar accuracy with better performance. The proposed method has been implemented using extended Kalman filter and Unscented Kalman filter. The simulation results show that the multi-step Gaussian filtering is comparable to particle filter in all cases with better performance. For further evaluation, the effects of uncertainty in the propagation parameters have been studied to show the robustness of each filter to these uncertainties. © 2013 IEEE.

关键词： Extended Kalman filters

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A Piecewise-Markovian Lyapunov Approach to Reliable Output Feedback control for Fuzzy-Affine systems With Time-Delays and Actuator Faults

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IEEE TRANSACTIONS ON CYBERNETICS 2018年第9期48卷 2723-2735页

作者： Wei, Yanling Qiu, Jianbin Shi, Peng Wu, Ligang State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China School of Electrical and Electronic Engineering University of Adelaide Adelaide SA Australia Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China

This paper addresses the problem of delay-dependent robust and reliable H-infinity static output feedback (SOF) control for a class of uncertain discrete-time Takagi-Sugeno fuzzy-affine (FA) systems with time-varying delay and actuator faults in a singular system framework. The Markov chain is employed to describe the actuator faults behaviors. In particular, by utilizing a system augmentation approach, the conventional closed-loop system is converted into a singular FA system. By constructing a piecewise-Markovian Lyapunov-Krasovskii functional, a new H-infinity performance analysis criterion is then presented, where a novel summation inequality and S-procedure are succeedingly employed. Subsequently, thanks to the special structure of the singular system formulation, the piecewise-affine SOF controller design is proposed via a convex program. Lastly, illustrative examples are given to show the efficacy and less conservatism of the presented approach.

关键词： Piecewise Markovian Lyapunov functional reliable output feedback control time-varying delay T-S fuzzy-affine (FA) systems

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