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检索条件"任意字段=Symposium on Nonlinear Control and Observer Design"

共 495 条记录，以下是261-270 订阅

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On observer design for nonlinear Takagi-Sugeno systems with unmeasurable premise variable

On observer design for nonlinear Takagi-Sugeno systems with ...

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作者： Ichalal, Dalil Marx, Benoît Maquin, Didier Ragot, José IBISC Laboratory Universit d'Evry-Val-d'Essonne 40 rue du Pelvoux Courcouronnes 91020 Cedex France Nancy-Université 2 avenue de la forêt de Haye 54516 Vandoeuvreles France

In this paper, we propose a method for state estimation of nonlinear systems represented by Takagi-Sugeno (T-S) models with unmeasurable premise variables. The main result is established using the differential mean value theorem which provides a T-S representation of the differential equation generating the state estimation error. This allows to extend some results obtained in the case of measurable premise variables to the unmeasurable one. Using the Lyapunov theory, stability conditions are obtained and expressed in term of linear matrix inequalities. Furthermore, an extension for observer design with disturbance attenuation performance is proposed. Finally, this approach is illustrated on a DC series motor and compared to the existing approaches. © 2011 Zhejiang University.

关键词： Linear matrix inequalities

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Multiobjective fault detection observer design for a class of T-S fuzzy nonlinear systems

Multiobjective fault detection observer design for a class o...

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International symposium on Advanced control of Industrial Processes (ADCONIP)

作者： Dengfeng Zhang Xiaodong Han Hong Wang Zhiquan Wang Control Systems Centre University of Manchester Institute of Science and Technology Manchester UK School of Mechanical Engineering Nanjing University of Science and Technology of PLA Nanjing China Institute of Telecommunication Satellite China Academy of Space Technology Beijing China School of Automation Nanjing University of Science and Technology of PLA Nanjing China

This article presents the design of fault detection fuzzy observer with multiple performance constraints for a class of nonlinear system with Takagi-Sugeno fuzzy form. The multiobjective optimization and consistency analysis are applied to meeting the desirable transient behavior, steady output variance and H- index performance requirements. Thus, the rapidity of response to fault detection, robustness to noisy disturbances and sensitivity to faults are guaranteed simultaneously. One advantage of our design is that the determination of detection threshold makes full use of the information in the stage of observer design. Meanwhile, the multiple fuzzy Lyapunov function and the slack of variables are used for decreasing the conservatism of conventional single Lyapunove function method. Simulation results indicated the effectiveness of the proposed method.

关键词： observers Fault detection Covariance matrix Indexes Eigenvalues and eigenfunctions Noise measurement Lyapunov methods

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On observer design for nonlinear Takagi-Sugeno systems with unmeasurable premise variable

On observer design for nonlinear Takagi-Sugeno systems with ...

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International symposium on Advanced control of Industrial Processes (ADCONIP)

作者： Dalil Ichalal Benoît Marx Didier Maquin José Ragot IBISC Laboratory University of Evry-Val d''Essonne Evry France Centre de Recherche en Automatique de Nancy (CRAN) Nancy-Université Vandoeuvre-les-Nancy France

关键词： observers nonlinear systems Stability analysis DC motors Mathematical model Lyapunov methods

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A high order sliding mode observer for systems in triangular input observer form

A high order sliding mode observer for systems in triangular...

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IEEE Latin American Robotics symposium, LARS

作者： Juan Diego Sánchez-Torres Alexander G. Loukianov Julian Alberto Patiño Murillo Bertulfo Giraldo Héctor Botero Department of Electrical Engineering and Computer Computer Science Automatic Control Laboratory Unidad Guadalajara CINVESTAV Zapopan Jalisco Mexico Escuela de Ingeniería Eléctrica y Mecánica Facultad de Minas Universidad Nacional de Colombia Sede Medellín Medellin Colombia

This paper deals with the design of a high order sliding mode observer for a class of nonlinear systems that can be described in the so called triangular input observer form. The mathematical tools required to make the system transformation to such form are also presented. At last, we show the performance of the observers with several simulation examples, including the application of a CSTR process model.

关键词： observers Mathematical model Chemical reactors Equations Robustness Convergence

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Lyapunov-based adaptive control design for a class of uncertain MIMO nonlinear systems

Lyapunov-based adaptive control design for a class of uncert...

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IEEE International symposium on Intelligent control (ISIC)

作者： Z. Wang A. Behal B. Xian J. Chen Department of Electrical Engineering and Computer Science University of Central Florida Orlando FL USA School of Electrical Engineering and Automation Tianjin University Tianjin China Ida Tech LLC Bend OR USA

In this paper, an adaptive feedback control is designed for a class of MIMO nonlinear systems containing parametric uncertainty in both the drift vector and the input gain matrix, which is assumed to be full-rank and non-symmetric in general. Based on an SDU decomposition of the gain matrix, a singularity-free adaptive tracking control law is proposed that is shown to be globally asymptotically stable (GAS) under full-state feedback. Output feedback results are facilitated via the use of a high-gain observer (HGO). Under output feedback control, ultimate boundedness of the error signals is obtained - the size of the bound is related to the size of the uncertainty in the parameters. An explicit upper bound is also provided on the size of the HGO gain constant.

关键词： Matrix decomposition Symmetric matrices MIMO Trajectory Adaptive control observers

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Semi-globally convergent observer for single-output-bounded-state systems subject to time-delay

Semi-globally convergent observer for single-output-bounded-...

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IEEE International Conference on control Applications Part of 2010 IEEE Multi-Conference on Systems and control

作者： Ibrir, Salim Univ Trinidad & Tobago Brechin Castle Couva Trinidad Tobago

ISBN: (纸本)9781424453610

A semi-globally convergent nonlinear observer is proposed for bounded-state nonlinear systems subject to state-delay nonlinearities. The proposed design can be seen as an extension of the results given in [1]. In the present paper the observer gain is derived from a time-varying-parameter-dependent Riccati equation with arbitrary weighting matrices. Illustrative numerical example is given to demonstrate the simplicity and the efficacy of the new design.

关键词： nonlinear observer design Time-delay systems Adaptive estimation System theory Saturation

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Global estimation of nonlinear systems with unknown-input coefficients

Global estimation of nonlinear systems with unknown-input co...

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IEEE International Conference on control Applications Part of 2010 IEEE Multi-Conference on Systems and control

作者： Ibrir, Salim Univ Trinidad & Tobago Brechin Castle Couva Trinidad Tobago

ISBN: (纸本)9781424453610

This paper deals with simultaneous state and input-parameter estimation of a class of bounded-state nonlinear systems. By state augmentation, the unknown-input coefficient is seen as an extension of the system states and consequently, an input-gain observer can be conceived to steer the observation error to the origin for some bounded and non-null control input. The proposed design remains valid for nonlinear-input systems with linear parametrization.

关键词： nonlinear observer design BIBS (Bounded-Input-Bounded-State) nonlinear systems Adaptive estimation System theory Non-symmetric saturation function

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nonlinear observer design using Lyapunov functions and SOS techniques

Nonlinear observer design using Lyapunov functions and SOS t...

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IEEE International symposium on Computer-Aided control System design

作者： Selbach, Christian Tibken, Bernd Faculty of Electrical Information and Media Engineering University of Wuppertal 42119 Wuppertal Germany

ISBN: (纸本)9781424453542

In this paper an observer for a polynomial nonlinear (nonautonomous) system constrained to a bounded subset of the state space is considered. The presented approach allows the construction of a locally asymptotically stable observer, which is guaranteed to be stable for any possible state within the limits. It is based on a theorem of Jacobi and Prestel. The problem is rewritten as an optimization problem using sum of squares (SOS) polynomials. The coefficients of these polynomials are interpreted as decision variables which form the basis of a convex optimization problem with linear matrix inequalities (LMIs). It can be easily implemented and solved with available software. The applicability of our approach is shown for an example. © 2010 IEEE.

关键词： Polynomials

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Robust Adaptive control design for a Class of Uncertain MIMO nonlinear Systems

Robust Adaptive Control Design for a Class of Uncertain MIMO...

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IEEE International Conference on control Applications Part of 2010 IEEE Multi-Conference on Systems and control

作者： Wang, Z. Chen, J. Behal, A. Univ Cent Florida Sch Elect Engn & Comp Sci Orlando FL 32826 USA Univ Cent Florida Sch Elect Engn & Comp Sci Nanosci Technol Ctr Orlando FL 32826 USA Ida Tech LLC Bend OR 97701 USA

ISBN: (纸本)9781424453610

In this paper, we address the problem of adaptive control design for a class of multi-input multi-output (MIMO) nonlinear systems. A Lypaunov based singularity free control law, which compensates for parametric uncertainty in both the drift vector and the input gain matrix, is proposed under the mild assumption that the signs of the leading minors of the control input gain matrix are known. Lyapunov analysis shows global uniform ultimate boundedness (GUUB) result for the tracking error under full state feedback (FSFB). Under the restriction that only the output vector is available for measurement, an output feedback (OFB) controller is designed based on a standard high gain observer (HGO) - stability under OFB is fostered by the uniformity of the FSFB solution. Simulation results for both FSFB and OFB controllers demonstrate the efficacy of the MIMO control design in the classical 2-DOF robot manipulator model.

关键词： Lyapunov based singularity free control law Lyapunov methods MIMO systems adaptive control classical 2-DOF robot manipulator model control input gain matrix control system synthesis drift vector full state feedback global uniform ultimate boundedness manipulators matrix algebra nonlinear control systems observers output feedback controller robust adaptive control design robust control standard high gain observer state feedback uncertain multiinput multioutput nonlinear systems uncertain systems vectors

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nonlinear observer and controller design with actuator failure for one hypersonic aircraft

Nonlinear observer and controller design with actuator failu...

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International symposium on Systems and control in Aerospace and Astronautics

作者： Chen, Jie Wu, Jinhua Song, Zhaoqing Department of Control Engineering Naval Aeronautical and Astronautical University Yantai Shandong Province China

ISBN: (纸本)9781424460441

To solve the part of actuator failure problem, the hypersonic aircraft nonlinear observer and controller are designed synthetically. We develop the research model based on a SISO output feedback nonlinear unobservered minimum phase system under the condition of single channel actuator failure of the hypersonic aircraft, adopt K - filter to reconstruct state vectors, design the adaptive control law to guarantee the system boundedness. Dynamic surface control is employed strategy to eliminate the explosion of terms by introducing a series of first order filters to obtain the differentiation of the virtual control inputs. Lyapunov stability theorem guarantees the error uniformly bound. The pitch channel of hypersonic aircraft is studied as an example to validate above theory. Both theory analysis and simulation verification show the simpleness and effective of this method. ©2010 IEEE.

关键词： Hypersonic vehicles

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