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Robust Stabilization of T-S Fuzzy Stochastic Descriptor Systems via Integral Sliding Modes

IEEE TRANSACTIONS ON CYBERNETICS 2018年第9期48卷 2736-2749页

作者： Li, Jinghao Zhang, Qingling Yan, Xing-Gang Spurgeon, Sarah K. Institute of Systems Science State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Instrumentation Control and Embedded Systems Research Group School of Engineering and Digital Arts University of Kent Canterbury U.K. Department of Electronic and Electrical Engineering University College London London U.K.

This paper addresses the robust stabilization problem for T-S fuzzy stochastic descriptor systems using an integral sliding mode control paradigm. A classical integral sliding mode control scheme and a nonparallel distributed compensation (Non-PDC) integral sliding mode control scheme are presented. It is shown that two restrictive assumptions previously adopted developing sliding mode controllers for Takagi-Sugeno (T-S) fuzzy stochastic systems are not required with the proposed framework. A unified framework for sliding mode control of T-S fuzzy systems is formulated. The proposed Non-PDC integral sliding mode control scheme encompasses existing schemes when the previously imposed assumptions hold. Stability of the sliding motion is analyzed and the sliding mode controller is parameterized in terms of the solutions of a set of linear matrix inequalities which facilitates design. The methodology is applied to an inverted pendulum model to validate the effectiveness of the results presented.

关键词： Integral sliding mode control inverted pendulum nonparallel distributed compensation (Non-PDC) robust stabilization Takagi-Sugeno (T-S) fuzzy stochastic descriptor systems

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Single landmark based self-localization of mobile robots

Single landmark based self-localization of mobile robots

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3rd Canadian Conference on computer and Robot Vision, CRV 2006

作者： Bais, Abdul Sablatnig, Robert Gu, Jason Institute of Computer Technology Vienna University of Technology Vienna Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology Vienna Austria Robotics Research Group Department of Electrical and Computer Engineering Dalhousie University Halifax Canada

ISBN: (纸本)0769525423

In this paper we discuss landmark based absolute localization of tiny autonomous mobile robots in a known environment. Landmark features are naturally occurring as it is not allowed to modify the environment with special navigational aids. These features are sparse in our application domain and are frequently occluded by other robots. This makes simultaneous acquisition of two or more landmarks difficult. Therefore, we propose a system that requires a single landmark feature. The algorithm is based on range measurement of a single landmark from two arbitrary points whose displacement can be measured using dead-reckoning sensors. Range estimation is done with a stereo vision system. Simulation results show that the robot can localize itself if it can estimates range of the same landmark from two different position and if the displacement between the two position is known. © 2006 IEEE.

关键词： Mobile robots

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Calcium coupled bursting in an integrative model of GnRH neuronal electrophysiology

Calcium coupled bursting in an integrative model of GnRH neu...

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作者： Csercsik, D. Farkas, I. Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences Hungary Department of Endocrine Neurobiology Institute of Experimental Medicine Hungarian Academy of Sciences Hungary MTA SzTAKI Kende U. 13-17 Budapest Hungary

In this paper, an integrative dynamical model of GnRH electrophysiology is used to study the calcium related interactions corresponding to bursting behavior. Various mechanisms affecting calcium dynamics are blocked or modified, and simulation results are compared to literature data to verify the model. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Electrophysiology

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Parallel Building: A Complex System Approach for Smart Building Energy Management

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IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1452-1461页

作者： Abdulaziz Almalaq Jun Hao Jun Jason Zhang Fei-Yue Wang Department of Electrical Engineering Engineering CollegeUniversity of HailHail 55476Saudi Arabia Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer ScienceUniversity of DenverDenverCO 80208 USA State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 and also with the Research Center for Military Computational Experiments and Parallel Systems TechnologyNational University of Defense TechnologyChangsha 410073China

These days' smart buildings have high intensive information and massive operational parameters, not only extensive power consumption. With the development of computation capability and future 5 G, the ACP theory(i.e., artificial systems,computational experiments, and parallel computing) will play a much more crucial role in modeling and control of complex systems like commercial and academic buildings. The necessity of making accurate predictions of energy consumption out of a large number of operational parameters has become a crucial problem in smart buildings. Previous attempts have been made to seek energy consumption predictions based on historical data in buildings. However, there are still questions about parallel building consumption prediction mechanism using a large number of operational parameters. This article proposes a novel hybrid deep learning prediction approach that utilizes long short-term memory as an encoder and gated recurrent unit as a decoder in conjunction with ACP theory. The proposed approach is tested and validated by real-world dataset, and the results outperformed traditional predictive models compared in this paper.

关键词： ACP theory artificial intelligence data acquisition deep learning(DL) energy consumption machine learning parallel energy prediction prediction algorithms smart grid

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Hierarchical modelling in biology: Systematic building of limb models

Hierarchical modelling in biology: Systematic building of li...

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作者： Fazekas, C.S. Kozmann, G.Y. Hangos, K.M. Department of Information Systems University of Veszprém Veszprém Hungary Research Institute for Technical Physics and Materials Sciences Department of Biomedical Engineering Budapest Hungary Computer and Automation Research Institute Systems and Control Laboratory Budapest Hungary

ISBN: (纸本)008045108X

A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation signals. The levels, the sub-models on each level and their interconnections are developed and described following a systematic modelling procedure. The computational properties (degree of freedom and differential index) of the developed model have been analyzed and a sub-model has been transformed to meet the index-one requirement for solving the resulting differential algebraic equation (DAE) model by standard methods implemented in MATLAB. The model is extensively verified against engineering expectations using parameter values found in the literature, and a good agreement was found. Parameter sensitivity analysis has also been performed. Copyright © 2005 IFAC.

关键词： Hierarchical systems

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control Lyapunov function based feedback design for quasi-polynomial systems

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IFAC Proceedings Volumes 2013年第23期46卷 128-133页

作者： Attila Magyar Katalin M. Hangos Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is equivalent to the feasibility of a bilinear matrix inequality. The problem is also formulated as a control Lyapunov function based feedback design when the Lyapunov function parameters are given, the solution of this problem can be obtained by solving a linear matrix inequality. The developed method is illustrated on a simple numerical example.

关键词： Lyapunov stability nonlinear systems stabilizing feedback dynamic feedback optimization problems

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Signal and system representations on hyperbolic groups: Beyond rational orthogonal bases

Signal and system representations on hyperbolic groups: Beyo...

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IEEE 7th International Conference on Computational Cybernetics, ICCC 2009

作者： Soumelidis, Alexandros Bokor, József Schipp, Ferenc Computer and Automation Research Institute Hungarian Academy of Sciences Kende 13-17 Budapest H-1111 Hungary Computer and Automation Research Institute Control Engineering Research Group Hungarian Academy of Sciences Kende 13-17 Budapest H-1111 Hungary Department of Numerical Analysis Faculty of Informatics Eötvös Loránd University Pazmany Peter Setany 1/C Budapest H-1117 Hungary

ISBN: (纸本)9781424453115

This paper investigates signal and system representations in special rational orthogonal bases of the Hardy space H2. These bases are derived from the Blaschke-group associated to the hyperbolic group SH(n) of matrices. Using the concept of the unitary group representations over H 2, and the voice-transform, specific hyperbolic wavelet constructions - Blaschke-wavelets and the associated Blaschke-Fourier transform are constructed. State space representations of systems over hyperbolic groups are discussed, too, with the purpose to explore the perspectives of elaborating a unified system theory upon this conceptual base. ©2009IEEE.

关键词： State space methods

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ON THE EQUIVALENCE OF A MINIMAL ORDER MPC AND A GTDOF control OF TIME-DELAY PLANTS

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IFAC Proceedings Volumes 2005年第1期38卷 183-188页

作者： L. Keviczky Cs. Bányász Computer and Automation Research Institute of the H. Ac. of Sc. Control Engineering Research Group of the H. Ac. of Sc. at the Department of Automation and Informatics TU of Budapest

It is shown that for open-loop stable plants the task of an MPC can be solved by identifying the plant model only instead of the redundant prediction model. Interesting structural considerations can be derived from comparison of the topologies and structural forms of regulators obtained by pole-placement design, the GTDOF scheme and the MPC . A new simple method is also introduced for adaptive and combined iterative identification and control for time-delay plants.

关键词： time-delay pole-placement model predictive control two-degree of freedom regulator

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Sparse Bayesian reconstruction method for multispectral bioluminescence tomography

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Chinese Optics Letters 2010年第10期8卷 1010-1014页

作者： Feng, Jinchao Jia, Kebin Qin, Chenghu Zhu, Shouping Yang, Xin Tian, Jie College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 China Medical Image Processing Group Institute of Automation Chinese Academy of Sciences Beijing 100190 China Life Science Research Center Xidian University Xi'an 710071 China

We present a sparse Bayesian reconstruction method based on multiple types of a priori information for multispectral bioluminescence tomography (BLT). In the Bayesian approach, five kinds of a priori information are incorporated, reducing the ill-posedness of BLT. Specifically, source sparsity characteristic is considered to promote reconstruction results. Considering the computational burden in the multispectral case, a series of strategies is adopted to improve computational efficiency, such as optimal permissible source region strategy and node model of the finite element method. The performance of the proposed algorithm is validated by a heterogeneous three-dimensional (3D) micron scale computed tomography atlas and a mouse-shaped phantom. Reconstructed results demonstrate the feasibility and effectiveness of the proposed algorithm. © 2010 Chinese Optics Letters.

关键词： Computational efficiency

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Robust H∞ filter design using frequency gridding

Robust H∞ filter design using frequency gridding

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作者： Seiler, Peter Vanek, Balint Bokor, József Balas, Gary J. Aerospace and Engineering Mechanics Department University of Minnesota United States Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

ISBN: (纸本)9781457700804

This paper considers the design of robust H∞ filters for continuous-time linear systems with uncertainties described by integral quadratic constraints (IQCs). The synthesis problem can be converted into an infinite-dimensional optimization with frequency dependent linear matrix inequality constraints on the filter and IQC multipliers. This optimization is approximated by a finite dimensional semidefinite program by restricting the filter to be a linear combination of basis functions and enforcing the constraints on a finite, but dense, grid of frequencies. A heuristic algorithm is described to quickly solve the resulting finite dimensional optimization. A small example is provided to demonstrate the proposed algorithm. © 2011 AACC American Automatic control Council.

关键词： Optimization

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