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Data-Based Optimal Tracking of Autonomous Nonlinear Switching systems

IEEE/CAA Journal of Automatica Sinica 2021年第1期8卷 227-238页

作者： Xiaofeng Li Lu Dong Changyin Sun the School of Automation Southeast UniversityNanjing 210096 the Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China the College of Electronics and Information Engineering Tongji UniversityShanghai 201804China

In this paper,a data-based scheme is proposed to solve the optimal tracking problem of autonomous nonlinear switching *** system state is forced to track the reference signal by minimizing the performance ***,the problem is transformed to solve the corresponding Bellman optimality equation in terms of the Q-function(also named as action value function).Then,an iterative algorithm based on adaptive dynamic programming(ADP)is developed to find the optimal solution which is totally based on sampled *** linear-in-parameter(LIP)neural network is taken as the value function *** the presence of approximation error at each iteration step,the generated approximated value function sequence is proved to be boundedness around the exact optimal solution under some verifiable ***,the effect that the learning process will be terminated after a finite number of iterations is investigated in this paper.A sufficient condition for asymptotically stability of the tracking error is ***,the effectiveness of the algorithm is demonstrated with three simulation examples.

关键词： Adaptive dynamic programming approximation error data-based control Q-learning switching system

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Convergence Analysis of Consensus based Distributed Filtering Algorithm in Sensor Networks 34

Convergence Analysis of Consensus based Distributed Filterin...

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第三十四届中国控制会议

作者： ZHANG Ya TIAN Yu-Ping CAI Jun School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education 73658 Army

ISBN: (纸本)9781467374439

This paper studies the distributed filtering problem of sensor networks, where a set of heterogeneous sensing nodes is required to estimate the state of a linear discrete-time dynamic system in a collaborative manner. Due to limited sensing range and communication constraints, just part of sensors can get observations of the process and a consensus based sub-optimal filtering algorithm is designed. The convergence properties of the estimation error covariance is further studied, and a necessary and sufficient convergence condition is provided based on LMIs. This condition shows that the convergence of the algorithm requires the target node in the extended topology of network is globally reachable and each sensing node is observable to the process. Simulation examples are given to illustrate the results.

关键词： Distributed filter,Sensor networks,Consensus,Convergence analysis,LMIs

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Continuous finite-time TSM control for electronic throttle system

Continuous finite-time TSM control for electronic throttle s...

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2019 Jiangsu Annual Conference on Automation, JACA 2019

作者： Agbaje, Oluwatoyin Timothy Li, Shihua Sun, Hao Zhang, Lu Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China

This article examines the position tracking difficulties of the electronic throttle (ET) system and presents a continuous finite-time terminal sliding mode (TSM) control method. The development of this control method involves two procedures: (i) designing a global finite-time observer to estimate the derivative and higher order derivatives of the ET system output, and the total disturbances;and (ii) construction of a continuous finite-time TSM controller based on observer estimations, to ensure the realisation of fast finite-time convergence of system output with a comparatively smooth control action. Comprehensive stability proof, simulation study, and experimental implementation are provided to affirm the applicability of the proposed method. © 2019 Institution of engineering and Technology. All rights reserved.

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Distributed disturbance-observer-based vibration control for a flexible-link manipulator with output constraints

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Science China(Technological Sciences) 2018年第10期61卷 1528-1536页

作者： YANG HongJun LIU JinKun HE Wei State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences School of Automation Science and Electrical Engineering Beihang University School of Automation and Electrical Engineering University of Science and Technology Beijing

The issue of output constraints is studied for a flexible-link manipulator in the presence of unknown spatially distributed disturbances. The manipulator can be taken as an Euler-Bernoulli beam and its dynamic is expressed by partial differential equations. On account of the uncertainty of disturbances, we present a disturbance observer to estimate infinite dimensional disturbances on the beam. The observer is proven exponentially stable. Considering the problem of output constraints in the practical engineering, we propose a novel distributed vibration controller based on the disturbance observer to fulfill the position regulation of the joint angle and suppress elastic deflections on the flexible link, while confining the regulating errors of output in a suitable scope that we can assign. The closed-loop system is demonstrated exponentially stable based on an integral-barrier Lyapunov function. Simulations validate the effectiveness of the design scheme.

关键词： flexible manipulator distributed vibration control disturbance observer partial differential equation output constraint distributed parameter system

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Coordinated Adaptive Flowfield Estimation for Second-Order Agents Formation Tracking Given Orbits 35

Coordinated Adaptive Flowfield Estimation for Second-Order A...

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第35届中国控制会议

作者： CHEN Yang-Yang TIAN Yu-Ping WANG Zan-Zan School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

ISBN: (纸本)9781509009107

This paper deals with cooperative estimation and control for second-order agents formation tracking a set of given orbit in an external flowfield,where only direction of flow inertial velocity is spatiotemporal and known.A novel coordinated adaptive estimator based on local neighbor-to-neighbor information is proposed to estimate the flow *** is shown that our previous geometric extension design,consensus and adaptive backstepping method can be combined together to construct the robust formation tracking controller under bidirectional *** theoretical result is proved by the numerical simulation.

关键词： Coordinated Adaptive Estimation Second-Order Agents Formation Tracking control

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Circadian Rhythms Recovery Based on Slide Mode controller 34

Circadian Rhythms Recovery Based on Slide Mode Controller

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第三十四届中国控制会议

作者： ZHOU Ren REN Haipeng HUANG Xiaona Department of Information and Control Engineering Xi'an University of Technology Shaanxi Key Laboratory for Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781467374439

Disrupting the circadian rhythms will cause health problems such as sleep disorders, memory disorders and obesity. Finding the suitable external stimulation to synchronize a model with a desired phase is a biologically significant issue. The phase control of circadian rhythms for Drosophila is considered from control engineering viewpoint in this paper. If all parameters of the model are known, we can use the feedback linearization to design a tracking controller for the phase ***, in practice, parameters uncertainties always exist. To deal with this problem, a slide-mode controller is proposed for the phase tracking control of circadian rhythms. The simulation results show the effectiveness of the proposed method.

关键词： Circadian rhythms,Circadian phase,Parameter uncertainty,Slide mode control

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Nonlinear Time-varying systems Identification Based on Multi-dimensional Taylor Network and Variable Forgetting Factor Recursive Least Squares Algorithm

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IFAC-PapersOnLine 2015年第11 11期48卷 1103-1107页

作者： Zhang, Jiao-Jun Yan, Hong-Sen School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

A novel method for nonlinear time-varying systems identification based on multi-dimensional Taylor network and variable forgetting factor recursive least squares algorithm is proposed. In this paper, the connection weight coefficients of multi-dimensional Taylor network are regarded as time-varying parameters, which are trained by the variable forgetting factor recursive least squares algorithm, to reflect the input-output change of nonlinear time-varying systems. Simulation results show that the method proposed in this paper is valid. © 2015

关键词： Time varying networks Identification (control systems) Least squares approximations Time varying systems Connection weights Input output Multi dimensional Nonlinear time varying systems Recursive least squares algorithms Time varying parameter Variable forgetting factors

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3D face recognition by deforming the normal face

3D face recognition by deforming the normal face

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2010 20th International Conference on Pattern Recognition, ICPR 2010

作者： Li, Xiaoli Da, Feipeng Key Laboratory of Measurement and Control for Complex System of Ministry of Education Research Institute of Automation Southeast University Nanjing China

ISBN: (纸本)9780769541099

3D face recognition is complicated by the presence of expression variation. In this paper, we present an automatic 3D face recognition method which can differentiate the expression deformations from the interpersonal differences and recognize faces with expressions being removed. The deformations caused by expression and interpersonal difference are firstly learnt from training set, respectively. Then the deformations are linearly combined to synthesize new face with certain *** a target face comes in, the synthesized face is used to match it by adjusting the coefficients in the linear combination. After the matching process, coefficients corresponding to the interpersonal differences are chosen as features for recognition. We perform experiments on the FRGC v2.0 database and good performance is obtained. © 2010 IEEE.

关键词： Deformation

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A fast convergence deadlock control strategy of Petri nets based on MIP algorithm

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International Journal of Advancements in Computing Technology 2012年第17期4卷 589-598页

作者： Wang, Shouguang Wang, Dong Tan, Zhonghong Guan, Xuanxuan Wang, Chengying School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou 310018 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China

This paper presents a deadlock prevention method for a class of flexible manufacturing systems (FMS) where deadlocks are caused by unmarked siphons in the Petri net. In order to prevent deadlock, we propose a new algorithm to forbid the bad states maximally at each iteration so that the number of reachable states comes nearest to the optimal one. First, compute a maximal unmarked siphon by using an MIP algorithm. Then, obtain a subnet based on the unmarked siphon. Next, compute all minimal siphons of the subnet and add monitors to control them. We choose the right minimal siphon to control at last by comparison of their state number. This strategy is an iterative method. With the development of this algorithm, we avoid the redundant monitors, and hence significantly improve the computational efficiency. Finally, the proposed method is illustrated by using an example.

关键词： Petri nets

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Improved results on state estimation for neural networks with time-varying delays

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控制理论与应用（英文版） 2010年第2期8卷 215-221页

作者： Tao LI 1 , Shumin FEI 2 , Hong LU 2 (1.School of Instrument Science & engineering, Southeast University, Nanjing Jiangsu 210096, China 2.key laboratory of measurement and control of complex systems of engineering, Ministry of Education, Southeast University, Nanjing Jiangsu 210096, China) School of Instrument Science & Engineering Southeast University Nanjing Jiangsu China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu China

In this paper, some improved results on the state estimation problem for recurrent neural networks with both time-varying and distributed time-varying delays are presented. Through available output measurements, an improved delay-dependent criterion is established to estimate the neuron states such that the dynamics of the estimation error is globally exponentially stable, and the derivative of time-delay being less than 1 is removed, which generalize the existent methods. Finally, two illustrative examples are given to demonstrate the effectiveness of the proposed results.

关键词： Exponential state estimator Recurrent neural networks Exponential stability Time-varying delays Linear matrix inequality (LMI)

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