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arXiv 2021年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Chai, Tianyou Johansson, Karl H. School of Electrical Engineering and Computer Science and Digital Futures KTH Royal Institute of Technology Stockholm Sweden Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems Institute for Advanced Study Tongji University Shanghai China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run. The cumulative constraint violation is used as the metric to measure constraint violations, which excludes the situation that strictly feasible constraints can compensate the effects of violated constraints. A novel algorithm is first proposed and it achieves an O(Tmax{c,1-c}) bound for static regret and an O(T (1-c)/2) bound for cumulative constraint violation, where c ϵ (0, 1) is a user-defined trade-off parameter, and thus has improved performance compared with existing results. Both static regret and cumulative constraint violation bounds are reduced to O(log(T )) when the loss functions are strongly convex, which also improves existing results. In order to achieve the optimal regret with respect to any comparator sequence, another algorithm is then proposed and it achieves the optimal O( p T (1 + PT )) regret and an O(√T) cumulative constraint violation, where PT is the path-length of the comparator sequence. Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2021, The Authors. All rights reserved.

关键词： Comparators (optical)

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Sliding Mode control of Uncertain Switched Systems with Partly Known Sojourn Probabilities

Sliding Mode Control of Uncertain Switched Systems with Part...

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Asian control Conference

作者： Haijuan Zhao Yugang Niu Yuanyuan Zou The Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Key Laboratory of System Control and Information Processing Department of Automation Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781728102634

This paper is concerned with the sliding mode control (SMC) problem for a class of uncertain switched systems subject to partly known sojourn probabilities. The sojourn probability is the probability of a switched system staying in each subsystem, which may be available or unavailable. A key issue is how to design a sliding mode controller to guarantee the stability performance of the reconstructed switched systems subject to the partly known sojourn probabilities. To this end, by using a set of stochastic variables, the switched system model is reconstructed with partly known sojourn probabilities. And then, the sliding mode control law is constructed to ensure the reachability of the designed common sliding surface. Furthermore, the sufficient condition is derived to ensure the mean-square stability of the closed-loop system under the partly unknown sojourn probabilities. Finally, a numerical example is provided to illustrate the proposed method.

关键词： Switched systems Switches Closed loop systems Stability analysis Sliding mode control Trajectory

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Preface——Special Issue on New Directions in Nonlinear and Distributed control

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Journal of Systems Science & Complexity 2018年第1期31卷 1-3页

作者： LIU Tengfei XIN Bin JIANG Zhong-Ping State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China School of Automation State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing 100081 China Tandon School of Engineering New York University Brooklyn NY 11201 USA

Nonlinearity is ubiquitous in engineering and natural *** development of nonlinear control can be traced back to decades *** date,the research has reached the stage that emphasizes developing methodologies that can ha... 详细信息

关键词：控制问题非线性分布式工程应用程序电子物理自然系统生产线相互作用

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Sliding Mode control for Networked control System Under Fading Channels

Sliding Mode Control for Networked Control System Under Fadi...

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control technology and Applications (CCTA),

作者： Jiarui Li Yugang Niu Yuanyuan Zou Key Laboratory of Advanced Control and optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China

In this work, the discrete-time sliding mode control problem for the networked control systems under fading channels is investigated. Moreover, the state signals will be quantized through a logarithmic quantizer before transmitted to the controller. Subsequently, a sliding surface relating to fading coefficient is designed to cope with the fading measurements. It is shown that the designed sliding mode controller can drive the state trajectories into the neighborhood of the specified sliding surface and the closed-loop system is asymptotically stable in the sense of mean square. In the end, a numerical simulation is given.

关键词： Fading channels Quantization (signal) Symmetric matrices Sliding mode control Closed loop systems Lyapunov methods Networked control systems

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U-model enhanced control of Volterra series systems

U-model enhanced control of Volterra series systems

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第三十八届中国控制会议

作者： Quanmin Zhu Weicun Zhang Jing Chen Department of Engineering Design and Mathematics University of the West of England School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Process Control for Light Industry Jiangnan University

This study expands the U-model based control(U-control in short) concept and formulation, a universal model-independent framework for designing control systems, into Volterra series modelled nonlinear systems. With this framework, various Volterra series control schemes can be universally achieved with relative concise/general formulation. In techniques, this study takes U-model structure to realise U-Volterra series model conversion for model inversion and designs the invariant linear stable controller in a feedback loop to lay a basis for specifying system transient and steady state performances. Heuristically, a bench test example is used to demonstrate the effectiveness of the design procedure, as well as the routines in applications.

关键词： U-model based control U-control dynamic inversion Volterra series systems simulation studies

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Predictive control for Continuous Stirred Tank Reactors

Predictive Control for Continuous Stirred Tank Reactors

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2019 International Conference on Informatics, control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

作者： Ioana NASCU Ioan NASCU Wen-li DU Sai GU Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Department of Chemical and Process Engineering University of Surrey Department of Automation Technical University of Cluj-Napoca

The paper focuses on the implementation of a model based predictive control(MBPC) method, for Continuous Stirred Tank Reactors. First, the modelling problem of a single irreversible exothermic reaction, taking place in a perfectly mixed continuously stirred tank reactor(CSTR) is presented. The dynamic model consists of differential material and energy balance equations. The control strategy is investigated and evaluated by performing simulations and analyzing the results. The disturbance rejection capacity of the control system(regulatory control performances) have been tested and compared with those obtained using a classical Proportional Integral Derivative(PID) based controller. The results show that this control strategy has good performances and can be efficiently used to control the CSTR.

关键词： Predictive control PID control Chemical reactor process model

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Pulp concentration control based on dynamic matrix control

Pulp concentration control based on dynamic matrix control

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Chinese Intelligent Systems Conference, CISC 2017

作者： Hao, Wen Dong, Jie Peng, Kaixiang Jia, Mengqi Wang, Qiang Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education Beijing100083 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China

ISBN: (纸本)9789811064982

In the papermaking industry, the stability of the pulp concentration determines the quality of the paper. However, the change of the pulp concentration is in a state of fluctuation for a long time and the pulp concentration control system has the characteristics of large lag, non-linearity and time-varying. It is difficult to achieve the desired control effect by using the traditional PID controller in the concentration control process. Therefore, use of dynamic matrix control algorithm to design the controller can solve the problem of disturbance and modeling complexity. In this paper, dynamic matrix control algorithm and PID control simulation results show that the dynamic matrix control algorithm has better control quality. The output satisfies the constraint limit with higher probability, and the output constraints and performance index can be met. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Three term control systems

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Notice of Retraction: Adaptive Decentralized Tracking control for Nonlinear Large-Scale Systems

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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2021年第5期29卷 789-789页

作者： Karthik Chandran Weidong Zhang Rajalakshmi Murugesan S. Prasanna A. Baseera Sanjeevi Pandiyan Department of Automation Shanghai Jiao Tong University Shanghai China Department of Mechatronics Jyothi Engineering College Thrissur India Department of EEE Ultra College of Engineering and Technology India School of Information Technology and Engineering VIT Vellore India School of Computing Science and Engineering VIT Bhopal University India Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi 214122 China

This article has been retracted at the request of the first and corresponding author, Dr. Karthik Chandran. The author has alerted the Editor-in-Chief of IJUFKS the reasons for the retraction: The proposed system was modelled with the incorrect data set. The system response has become incorrect because of this incorrect data set. Two percent of the information (mathematical assumptions) was taken from one paper without proper citation of the source.

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Parameter identification of the fractional-order systems based on a modified PSO algorithm

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Journal of Southeast University(English Edition) 2018年第1期34卷 6-14页

作者： Liu Lu Shan Liang Jiang Chao Dai Yuewei Liu Chenglin Qi Zhidong School of Automation Nanjing University of Science and TechnologyNanjing 210094China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan UniversityWuxi 214122China

In order to better identify the parameters of the fractional-order system,a modified particle swarm optimization(MPSO)algorithm based on an improved Tent mapping is *** MPSO algorithm is validated with eight classical test functions,and compared with the POS algorithm with adaptive time varying accelerators(ACPSO),the genetic algorithm(GA),a d the improved PSO algorithm with passive congregation(IPSO).Based on the systems with known model structures a d unknown model structures,the proposed algorithm is adopted to identify two typical fractional-order *** results of parameter identification show that the application of average value of position information is beneficial to making f 11 use of the information exchange among individuals and speeds up the global searching *** introducing the uniformity and ergodicity of Tent mapping,the MPSO avoids the extreme v^ue of position information,so as not to fall into the local optimal *** brief the MPSOalgorithm is an effective a d useful method with a fast convergence rate and high accuracy.

关键词： particle swarm optimization Tent mapping parameter identification fractional-order systems passive congregation

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An Improved BFO Algorithm for Optimising the PID Parameters of Servo System

An Improved BFO Algorithm for Optimising the PID Parameters ...

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第30届中国控制与决策会议

作者： Lu Liu Liang Shan Jianhu Yan Chenglin Liu Yuewei Dai School of Automation Nanjing University of Science and Technology Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University

In view of the disadvantages of slow convergence speed and low convergence precision in bacterial foraging optimization（BFO） algorithm, an improved bacterial foraging optimization（IBFO） algorithm is presented in this *** application of a nonlinear and adaptive step size balances the global searching capability and the local searching ability. To better reflect the ability of bacteria to foraging, the reproduction operation is completed by using the fitness value of the current bacterial location, and the variation operation is introduced to increase the diversity of the population.A piecewise elimination-dispersal probability is adopted to improve the precision and accuracy. Several classical test functions verify the significance of the IBFO algorithm. After that, the IBFO algorithm is applied to optimize PID parameters of a typical servo system. Simulation results show that, comparing with other techniques, the proposed IBFO algorithm can more effectively improve the convergence property and stability of the servo system.

关键词： Bacterial foraging Servo System PID Parameters Piecewise Probability

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