Results 201 to 210 of about 35,826 (255)
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Robust guaranteed cost control for uncertain linear differential systems of neutral type
Applied Mathematics and Computation, 2003The following differential system is considered: \[ \dot{x}(t)=A_{0}x(t)+A_{1}x(t-h)+ C\dot{x}(t-h)+f(t,x(t),x(t-h))+Bu(t), \] \[ x(t)=\varphi(t),\quad t\in[-h,0], \] with a feedback controller \[ u(t)=-B^{T}Px(t) \] and with the cost function \[ \int_{0}^{\infty}(x^{T}(t)Qx(t)+u^{T}(t)Su(t))\,dt.
Ju H Park
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Robust Guaranteed Cost Control Under Digital Communication Channels
IEEE Transactions on Industrial Informatics, 2020This paper investigates the feedback guaranteed cost control problem for a class of uncertain discrete-time systems with input quantization. The plant with polytope type uncertainties is considered. The input signal will be quantized by a dynamic quantizer before it is transmitted from the controller to the system under digital communication channels ...
Xiao-Heng Chang +2 more
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Robust guaranteed cost control of discrete‐time networked control systems
Optimal Control Applications and Methods, 2011AbstractThis paper is concerned with the robust guaranteed cost control problem for networked control systems (NCSs). The plant considered is an uncertain linear discrete‐time system, where the communication limitations include packet‐loss and signal transmission delay.
Yao, X, Xiong, J, Lam, J, Wu, L
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DECENTRALIZED ROBUST CONTROL WITH GUARANTEED COST FOR HYBRID COMPLEX NETWORKS
International Journal of Information Acquisition, 2008In this paper, robust control of the decentralized guaranteed cost was studied for a class of complex network with impulsive effects and nonlinear perturbation. Based on the Lyapunov stability theorem, sufficient conditions for the decentralized guaranteed cost controllers were obtained.
Hao Zhang 0008 +2 more
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Application on Robust Guaranteed Cost Control Method in Portfolios
2007 Chinese Control Conference, 2006This text applies robust guaranteed cost control method to study a dynamic portfolio management problem over a finite horizon with transaction costs and cost index. Some restrictions make up a indeterminacy discrete system. The economic restrictions in the dynamic portfolio management problem are translated into a indeterminacy discrete system in ...
Gao Ying, Zhou Xin, Zou Yi
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Robust Guidance Design Based on Guaranteed Cost Control
2007 IEEE International Conference on Automation and Logistics, 2007The problem of uncertain homing missile guidance is considered. The guidance control is designed with the state feedback of guaranteed cost control. On the basis of LMI, the robust stabilizing controller is presented, and a guidance algorithm is given which can successfully guide the missile to the target.
Hongmei Zhang, Guoshan Zhang
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Positive real robust control: a guaranteed cost problem
Proceedings of the 36th IEEE Conference on Decision and Control, 2002Whenever uncertainty can be modeled as a sector bounded nonlinearity a robust controller design may be achieved with the help from positive real system properties. In this paper, a quadratic guaranteed cost robust control problem by dynamic output feedback is posed and solved in two situations, namely, when strict real positivity (SPR) or extended ...
J. Bernussou +3 more
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Robust normalization and guaranteed cost control for a class of uncertain descriptor systems
Automatica, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Junchao Ren, Qingling Zhang 0001
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Robust Quantized Guaranteed Cost Control
Applied Mechanics and Materials, 2013In this paper, the robust state feedback guaranteed cost control problem for discrete-time systems with signal quantization is studied. A dynamic quantization control strategy is proposed with updating the quantizer’s parameter such that the system is asymptotically stable and the performance index is with a upper bound.
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Robust ‘H∞Control, Filtering, and Guaranteed Cost Control
2002In the previous chapter, we developed algorithms that can be used to design H∞controllers and ?H∞filters for dynamical linear systems with time delay. Since these algorithms are based on nominal systems, there is no guarantee that the robustness of system performance will be assured in the presence of uncertainties.
El-Kébir Boukas, Zi-Kuan Liu
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