2017
DOI: 10.1155/2017/1523825
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Observer-Based Controller Design for a Class of Nonlinear Networked Control Systems with Random Time-Delays Modeled by Markov Chains

Abstract: This paper investigates the observer-based controller design problem for a class of nonlinear networked control systems with random time-delays. The nonlinearity is assumed to satisfy a global Lipschitz condition and two dependent Markov chains are employed to describe the time-delay from sensor to controller (S-C delay) and the time-delay from controller to actuator (C-A delay), respectively. The transition probabilities of S-C delay and C-A delay are both assumed to be partly inaccessible. Sufficient conditi… Show more

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Cited by 3 publications
(3 citation statements)
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“…In order not to make the conclusion too complicated, this paper assumes that the elements of the transition probability matrix of time-delays are completely known. For partially unknown case, methods of separating known or unknown elements or estimating them with related inequalities can be used (see [21] for details).…”
Section: Corollary 2 When ( ) ̸ = 0 If There Exist Matrices and Pmentioning
confidence: 99%
“…In order not to make the conclusion too complicated, this paper assumes that the elements of the transition probability matrix of time-delays are completely known. For partially unknown case, methods of separating known or unknown elements or estimating them with related inequalities can be used (see [21] for details).…”
Section: Corollary 2 When ( ) ̸ = 0 If There Exist Matrices and Pmentioning
confidence: 99%
“…Estimating the change of acceleration and the robot's live displacement point is important to control the rescue robot on its looked-for pathway. Observer-Based Controller (OBC) is used to calculate the varying acceleration and the contact point when the BART LAB rescue robot is maneuvering on the unknown pathway [45]. OBC evaluates and compensates both the varying acceleration and robots position using torque observer and the predictable torque based on sensorless control method [46].…”
Section: Our Experience On Rescue Robot At Bart Labmentioning
confidence: 99%
“…When transition probabilities of and are partly unknown, we can separate the unknown ones from the known ones; see [28].…”
Section: Remarkmentioning
confidence: 99%