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$H_\infty$ Fuzzy control for a Class of Nonlinear Coupled ODE-PDE Systems With Input Constraint

IEEE Transactions on Fuzzy Systems 2015年第3期23卷 593-604页

作者： Huai-Ning Wu Huan-Yu Zhu Jun-Wei Wang Science and Technology on Aircraft Control Laboratory Beihang University (formerly Beijing University of Aeronautics and Astronautics) Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

This paper deals with the problem of H ∞ fuzzy control design with an input constraint for a class of coupled systems, which consist of an n-dimensional nonlinear subsystem of ordinary differential equations (ODEs) and a scalar linear parabolic subsystem of partial differential equation (PDE) connected in feedback. Initially, the nonlinear coupled system is represented by a Takagi-Sugeno (T-S) fuzzy-coupled ODE-PDE model. Then, based on the fuzzy model and parallel distributed compensation scheme, a fuzzy state feedback control design is developed via Lyapunov's direct method, such that the resulting closed-loop fuzzy-coupled system is exponentially stable, and a prescribed H ∞ performance of disturbance attenuation is satisfied. The existing condition of the proposed H∞ fuzzy controllers is given in terms of linear matrix inequalities (LMIs). Moreover, in order to make the attenuation level as small as possible while the input constraint is respected to avoid the high magnitude, a suboptimal H ∞ -constrained fuzzy control problem is also addressed, which is formulated as an LMI optimization problem. Finally, the proposed method is applied to the control of a hypersonic rocket car to illustrate its effectiveness.

关键词： Fuzzy control control design State feedback Attenuation Symmetric matrices Aerospace electronics Boundary conditions

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Robust tracking control design for a flexible air-breathing hypersonic vehicle

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Journal of Central South University 2014年第1期21卷 130-139页

作者：张垚鲜斌刁琛赵勃郭建川 Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and AutomationTianjin University

A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive time-varying *** longitudinal dynamic model for the flexible AHV was used for the control ***-gain observers were designed to compensate for the system uncertainties and additive *** gain theorem and Lyapunov based stability analysis were utilized to prove the stability of the closed loop *** uniformly ultimately bounded tracking of the vehicle's velocity,altitude and attack angle were achieved under aeroelastic effects,system parametric uncertainties and unknown additive ***/Simulink simulation results were provided to validate the robustness of the proposed control *** simulation results demonstrate that the tracking errors stay in a small region around zero.

关键词： hypersonic vehicles nonlinear robust control flexible mode small gain theorem Lyapunov

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Process synthesis and design problems based on a global particle swarm optimization algorithm

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Journal of Computational Information Systems 2014年第13期10卷 5739-5746页

作者： Chen, Chuanhu Wang, Xin Zou, Dexuan School of Electrical Engineering and Automation Jiangsu Normal University Xuzhou China Information and Control Engineering Faculty Shenyang Jianzhu University Shenyang China

Many process synthesis and design problems in engineering are actually mixed integer nonlinear programming problems (MINLP), because they contain both continuous and integer variables. These problems are generally recognized to be complex and intractable by virtue of the combinatorial characteristic. In order to effectively solve process synthesis and design problems, a global particle swarm optimization (GPSO) algorithm is proposed in this paper. GPSO algorithm makes two improvements on original particle swarm optimization (PSO) algorithm: first, it introduces a global inertia weight, which is beneficial to improving its global searching capacity during the whole optimization process;second, it adopts a mutation operation with a small probability, which enables the GPSO algorithm to get rid of the local optimum easily. Simulation results show that the GPSO algorithm has high efficiency on finding the optimal solutions, and it has stronger convergence than the other four particle swarm optimization algorithms. © 2014 by Binary Information Press

关键词： Particle swarm optimization (PSO)

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Online critic-identifier-actor algorithm for optimal control of nonlinear systems

Online critic-identifier-actor algorithm for optimal control...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Hanquan Lin Qinglai Wei Derong Liu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

In this paper, a novel critic-identifier-actor optimal control scheme is designed for discrete-time affine nonlinear systems with uncertainties. A neural identifier is established to learn the unknown control coefficient matrix for affine nonlinear system working together with an actor-critic-based scheme to solve the optimal control in online and forward-in-time manner without value or policy iterations. A critic network learns approximate value function at each step. Another actor network attempts to improve the current policy based on the approximate value function. The weights of all neural networks (NNs) are updated at each sampling instant. Lyapunov theory is utilized to prove the stability of the closed-loop system. A simulation example is provided to illustrate the effectiveness of the developed method.

关键词： Optimal control Artificial neural networks Nonlinear systems Discrete-time systems Mathematical model Estimation error

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On Finite-Horizon Optimal control of First-Order Plus Time Delay Systems

On Finite-Horizon Optimal Control of First-Order Plus Time D...

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第27届中国控制与决策会议

作者： Dawei Shi Tongwen Chen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Department of Electrical and Computer Engineering University of Alberta

In this work,a finite-horizon optimal control problem for first-order plus time delay(FOPTD) processes is *** show that if the control horizon is greater than three and the prediction horizon is great than the control horizon plus the time delay in discrete time,the optimal controller is not affected by either of the two ***,under these conditions,the controller parameters are explicitly calculated,the closed-loop system is shown to be stable,and the controller is *** problem considered is related to the results on linear quadratic regulation of linear systems with time delays;however,the detailed parameterization of the state-space model introduced by the FOPTD process provides an additional opportunity to investigate the exact controller structure and properties(e.g.,the locations of the closed-loop poles),which are also the major difficulties encountered and overcome in this *** problem is motivated from phenomena experienced in designing industrial model predictive control(MPC) tuning algorithms,and extensive numerical examples indicate that the proposed results speed up the MPC autotuning algorithms by 70%.

关键词： Optimal control First-order plus time delay process Performance visualization MPC tuning

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Harmonic Analysis and Simulation Study Using Triple-spectrum-line interpolation FFT Algorithm

Harmonic Analysis and Simulation Study Using Triple-spectrum...

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2015 International Conference on Materials engineering and Information Technology Applications(MEITA 2015)

作者： Xiao-wan SONG De-min LI Zhen-hua LI Wen-zhang GUO Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control China Three Gorges University School of Electrical Engineering and Automation Hefei University of Technology

ISBN: (纸本)9781510812055

There is hard to obtain the harmonic parameters exactly for the fast Fourier transform in situation of non-synchronous sampling. The cosine window and triple-spectrum-line interpolation FFT algorithm is presented to reduce spectral leakage and improve the accuracy of harmonic analysis. The windowed FFT transform is applied to the sampling signal using a good sidelobe characteristic window and discrete spectrum lines are obtained. The weighted arithmetic is operated by using three spectrum lines near the harmonic frequency point and the applicable rectifications of triple-spectrum-line FFT are deduced. Simulation results show that the algorithm has a higher accuracy of harmonic analysis compared with the cosine windowed double interpolation FFT in non-synchronized sampling.

关键词： Fast Fourier Transform Spectral Leakage Harmonic Analysis Triple-spectrum-line Interpolation Harmonic Frequency Point

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Robust model predictive control based on polytopic LPV model for hypersonic vehicles

Robust model predictive control based on polytopic LPV model...

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IEEE International Conference on Cyber Technology in automation, control, and Intelligent Systems

作者： Chaofang Hu Qianqian Xie Shaokang Zhang Tao Zou The School of Electrical Engineering and Automation Tianjin University Tianjin China Laboratory of Information Service and Intelligent Control Chinese Academy of Science Shenyang Liaoning China

ISBN: (纸本)9781479987313

Considering the air-breathing hypersonic vehicle (AHV) system with strong nonlinearity and external disturbance, an off-line robust model predictive controller (RMPC) is presented based on the polytopic LPV model under the effects of disturbances. Firstly, Jacobian linearization and tensor-product modeling method are used to approximately transform the nonlinear AHV system into a polytopic LPV model, which provides the condition to establish the RMPC controller by linear matrix inequality (LMI). Secondly, the application of norm-bounding technology makes the errors between real-time states with disturbance and the reference setpoint states restricted into an invariant ellipsoid. Simulation has demonstrated the effectiveness of the proposed approach.

关键词： Vehicles Atmospheric modeling Robustness Predictive control Jacobian matrices Optimization Predictive models

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Consensus of Heterogeneous Multi-agent Systems With Switching Topologies Using Input-output Feedback Linearization

Consensus of Heterogeneous Multi-agent Systems With Switchin...

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第三十四届中国控制会议

作者： Qichao Zhang Dongbin Zhao Qinglai Wei Chengdong Li State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Information and Electrical Engineering Shandong Jianzhu University

ISBN: (纸本)9781467374439

In this paper, the leader-following consensus problem of multi-agent systems with nonlinear heterogeneous dynamics and switching topologies is considered. All agent outputs are required to track a leader output which is assumed as a desired value. By input-output feedback linearization, the nonlinear heterogeneous system is decomposed into equivalent linear systems and internal dynamics. Then a distributed auxiliary controller for every agent using local information is designed and a sufficient consensus condition is given under switching topologies with every possible topology containing a directed spanning ***, it is proved that the consensus can be achieved with the same condition for multi-agent systems under switching topologies frequently containing a directed spanning tree. Simulation results verify the effectiveness of the control protocol.

关键词： Multi-agent Systems,Switching Topologies,Nonlinear Heterogeneous Systems,Communication Failures,Inputoutput Feedback

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Guest Editorial for Special Issue on Autonomous control of Unmanned Aerial Vehicles

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IEEE/CAA Journal of Automatica Sinica 2015年第1期2卷 1-1页

作者： Derong Liu Changyin Sun Bin Xian the IEEE Computational Intelligence Society the IEEE Transactions on Neural Networks and Learning Systems 2016 World Congress on Intelligent Control and Automation Southeast University of China University of Science and Technology Beijing School of Electrical Engineering and Automation at Tianjin University

IN recent years,unmanned aerial vehicles(UAVs)have been widely employed in different applications,both military and ***,a fast growing civil UAV market is predicted over the next ***,most currently developed UAVs depend on simple control *** require exact modeling of the UAVs dynamics and are vulnerable to external ***,there is great

关键词： for in et is UAV Guest Editorial for Special Issue on Autonomous control of Unmanned Aerial Vehicles on of

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Analysis on Chaotic Vibrations of the Magneto-rheological Suspension System

Analysis on Chaotic Vibrations of the Magneto-rheological Su...

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2015年第一届机械工程与电子系统国际会议

作者： Hailong Zhang Ning Zhang Fuhong Min Enrong Wang Magneto-electronic Lab School of Physics and TechnologyNanjing Normal University Vibration Control Lab School of Electrical and Automation EngineeringNanjing Normal University

The magneto-rheological(MR) suspension system has been established,by employing the modified Bouc-wen force-velocity(F-v) model of magneto-rheological damper(MRD).The possibility of chaotic motions in MR suspension is discovered by employing nonlinear systems stability *** the bifurcation diagram and corresponding Lyapunov exponent spectrum diagrams detected through numerical calculation,we can observe the complex dynamical behaviors and oscillating mechanism of alternating periodic oscillations,quasi-periodic oscillations and chaotic oscillations with different profiles of road excitation,as well as the dynamical evolution to chaos by period-doubling bifurcations,saddle-node bifurcations and reverse period-doubling bifurcations.

关键词： Magneto-rheological Damper Bouc-wen Bifurcation Chaos

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