This paper is concerned with the exponential stabilization problem for a class of distributed parameter systems (DPSs) described by a parabolic partial differential equation (PDE) with mobile actuators and sensors. In...
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ISBN:
(纸本)9781538635247
This paper is concerned with the exponential stabilization problem for a class of distributed parameter systems (DPSs) described by a parabolic partial differential equation (PDE) with mobile actuators and sensors. Initially, the mobile guidance for each actuator/sensor pair is proposed based on the system performance requirement and the well-posed analysis of the DPS is given via the operator semigroup theory. Then, by utilizing Lyapunov direct method, the output feedback controllers are developed to exponentially stabilize the DPS with mobile actuators/sensors, whose existence condition is provided in terms of linear matrix inequalities (LMIs). Finally, numerical simulations are presented to illustrate the effectiveness of the proposed design method.
In this paper, the input-output finite-time stability and stabilization for distributed parameter systems was studied. The concept of input-output finite-time stability for distributed parameter systems was defined. B...
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ISBN:
(纸本)9781538604854
In this paper, the input-output finite-time stability and stabilization for distributed parameter systems was studied. The concept of input-output finite-time stability for distributed parameter systems was defined. By employing Lyapunov functional theory, sufficient conditions of input-output finitetime stability for distributed parameter systems were given. Sufficient conditions for the existence of distributed state feedback controllers which ensure the closed-loop distributed parameter systems be input-output finite-time stable were also proposed. Finally, a numerical example was given to illustrate our results.
Flatness approach is a straightforward method to solve the control problems of flat systems which are a class of systems whose states and control inputs can be expressed by the so-called flat outputs. Some results abo...
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ISBN:
(纸本)9781538635247
Flatness approach is a straightforward method to solve the control problems of flat systems which are a class of systems whose states and control inputs can be expressed by the so-called flat outputs. Some results about flatness of systems and the advantages of studying flatness approach are presented in this paper. By using flatness approach, the controllability and other control problems for some distributed parameter systems are solved. Taking parabolic and hyperbolic systems lin-instances, this paper summarizes the application of flatness approach in the controllability and motion planning.
NASA Technical Reports Server (Ntrs) 19890011265: Numerical Studies of Identification in Nonlinear distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19890011265: Numerical Studies of Identification in Nonlinear distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19910008345: One Shot Methods for Optimal Control of distributed parameter systems 1: Finite Dimensional Control by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19910008345: One Shot Methods for Optimal Control of distributed parameter systems 1: Finite Dimensional Control by NASA Technical Reports Server (Ntrs); published by
This paper presents a P-type iterative learning control (ILC) scheme for a class of fractional order distributedparameter switched systems. First, by analyzing of the control and learning processes, a discrete system...
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ISBN:
(纸本)9789881563958
This paper presents a P-type iterative learning control (ILC) scheme for a class of fractional order distributedparameter switched systems. First, by analyzing of the control and learning processes, a discrete system for P-type ILC is established and the ILC design problem is then converted to a stabilization problem for such a discrete system. Next, a sufficient condition for the convergence of the tracking errors is obtained, which is less conservative than the existing one. Finally, the validity of the proposed method is verified by a numerical example.
NASA Technical Reports Server (Ntrs) 19860017443: Computational Methods for the Control of distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19860017443: Computational Methods for the Control of distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19900002178: Estimation on Nonlinear Damping in Second Order distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19900002178: Estimation on Nonlinear Damping in Second Order distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19900000793: on Modelling Nonlinear Damping in distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19900000793: on Modelling Nonlinear Damping in distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19860020951: on Compactness of Admissible parameter Sets: Convergence and Stability in Inverse Problems for distributed parameter systems by NASA Technical Reports Server (Ntrs); p...
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NASA Technical Reports Server (Ntrs) 19860020951: on Compactness of Admissible parameter Sets: Convergence and Stability in Inverse Problems for distributed parameter systems by NASA Technical Reports Server (Ntrs); published by
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