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This paper presents the robust ??2 and ???? step tracking control methods for networked control systems subject to random time delays modeled by Markov chains. To make full use of the delay information, the static output feedback controller to be designed is dependent on both sensor-to-controller and controller-to-actuator delays. Using the augmentation method, the resulting closed-loop system belongs...
This paper considers the mixed H2/Hinfin control of networked control systems where random time delays existing in sensor-to-controller (S-C) and controller-to-actuator (C-A) links are modeled by Markov chains. The designed output feedback controller is two-mode-dependent, which depends on the available S-C and C-A delay information. The closed-loop system is formulated as a special jump linear system...
This paper is concerned with the design of the remote hydraulic position control system (HPCS) using the modified generalized predictive control (M-GPC) method. Both sensor-to-controller (S-C) and controller-to-actuator (C-A) network-induced delays are modeled as Markov chains. The M-GPC uses the available output and previously predicted control information at the controller node to compute the future...
This paper discusses the problem of linear path following for an underactuated surface ship with rudder actuator dynamics under external disturbances. By employing T-S fuzzy system as approximator of those unknown nonlinearities, a robust adaptive fuzzy controller is proposed by fusion of ldquodynamic surface controlrdquo(DSC) approach with ldquominimum-learning-parametersrdquo(MLP) algorithm for...
This note investigates the output feedback stabilization of networked control systems (NCSs). The sensor-to-controller (S-C) and controller-to-actuator (C-A) random network-induced delays are modeled as Markov chains. The focus is on the design of a two-mode-dependent controller that depends on not only the current S-C delay but also the most recent available C-A delay at the controller node. The...
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