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Output Feedback Stabilization (output + feedback_stabilization)
Selected AbstractsOutput feedback stabilization of constrained systems with nonlinear predictive controlINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Issue 3-4 2003Rolf Findeisen Abstract We present an output feedback stabilization scheme for uniformly completely observable nonlinear MIMO systems combining nonlinear model predictive control (NMPC) and high-gain observers. The control signal is recalculated at discrete sampling instants by an NMPC controller using a system model for the predictions. The state information necessary for the prediction is provided by a continuous time high-gain observer. The resulting ,optimal' control signal is open-loop implemented until the next sampling instant. With the proposed scheme semi-global practical stability is achieved. That is, for initial conditions in any compact set contained in the region of attraction of the NMPC state feedback controller, the system states will enter any small set containing the origin, if the high-gain observers is sufficiently fast and the sampling time is small enough. In principle the proposed approach can be used for a variety of state feedback NMPC schemes. Copyright © 2003 John Wiley & Sons, Ltd. [source] Output feedback stabilization for a class of stochastic non-linear systems with delays in input,ASIAN JOURNAL OF CONTROL, Issue 1 2010Jun-e Feng Abstract In this paper, constructive techniques are developed for a class of stochastic non-linear systems with delays in input. Non-linear terms considered in this paper are more general than those satisfying linear growth conditions. The purpose is to design an output feedback controller such that the resulting closed-loop system is globally asymptotically stable in probability. The desired output feedback controller is explicitly constructed using the Lyapunov method. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society [source] A dual-observer design for global output feedback stabilization of nonlinear systems with low-order and high-order nonlinearitiesINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Issue 15 2009Ji Li Abstract This paper employs a dual-observer design to solve the problem of global output feedback stabilization for a class of nonlinear systems whose nonlinearities are bounded by both low-order and high-order terms. We show that the dual-observer comprised of two individual homogeneous observers, can be implemented together to estimate low-order and high-order states in parallel. The proposed dual observer, together with a state feedback controller, which has both low-order and high-order terms, will lead to a new result combining and generalizing two recent results (Li J, Qian C. Proceedings of the 2005 IEEE Conference on Decision and Control, 2005; 2652,2657) and (Qian C. Proceedings of the 2005 American Control Conference, June 2005; 4708,4715). Copyright © 2008 John Wiley & Sons, Ltd. [source] LMI optimization approach to robust H, observer design and static output feedback stabilization for discrete-time nonlinear uncertain systemsINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Issue 3 2009Masoud Abbaszadeh Abstract A new approach for the design of robust H, observers for a class of Lipschitz nonlinear systems with time-varying uncertainties is proposed based on linear matrix inequalities (LMIs). The admissible Lipschitz constant of the system and the disturbance attenuation level are maximized simultaneously through convex multiobjective optimization. The resulting H, observer guarantees asymptotic stability of the estimation error dynamics and is robust against nonlinear additive uncertainty and time-varying parametric uncertainties. Explicit norm-wise and element-wise bounds on the tolerable nonlinear uncertainty are derived. Also, a new method for the robust output feedback stabilization with H, performance for a class of uncertain nonlinear systems is proposed. Our solution is based on a noniterative LMI optimization and is less restrictive than the existing solutions. The bounds on the nonlinear uncertainty and multiobjective optimization obtained for the observer are also applicable to the proposed static output feedback stabilizing controller. Copyright © 2008 John Wiley & Sons, Ltd. [source] A generalized homogeneous domination approach for global stabilization of inherently nonlinear systems via output feedbackINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Issue 7 2007Jason Polendo Abstract In this paper, we introduce a generalized framework for global output feedback stabilization of a class of uncertain, inherently nonlinear systems of a particularly complex nature since their linearization around the equilibrium is not guaranteed to be either controllable or observable. Based on a new observer/controller construction and a homogeneous domination design, this framework not only unifies the existing output feedback stabilization results, but also leads to more general results which have been never achieved before, establishing this methodology as a universal tool for the global output feedback stabilization of inherently nonlinear systems. Copyright © 2006 John Wiley & Sons, Ltd. [source] Global output feedback stabilization of upper-triangular nonlinear systems using a homogeneous domination approachINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Issue 9 2006Chunjiang Qian Abstract This paper addresses the problem of global output feedback stabilization for a class of upper-triangular systems with perturbing nonlinearities that are higher-order in the unmeasurable states. A new design method based on the homogeneous domination approach and finite-time stabilization technique is developed, which leads to global output feedback stabilizers for the upper-triangular nonlinear systems under a homogeneous growth condition. A new perspective shown in this paper is that the finite-time stabilization, in addition to its faster convergence rate, can also be utilized to handle control problems that were previously unresolved under asymptotic stabilization. Copyright © 2006 John Wiley & Sons, Ltd. [source] |