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In this paper, the adaptive control problem is studied for discrete-time stochastic bilinear systems with correlated noises and unknown parameters. A new adaptive control scheme, which is the ELS-based adaptive tracker of the studied systems, is proposed according to the modified certainty equivalence principle. By using the algorithm, the given bounded reference signal can be tracked by the resulting...
In this paper the modeling and simulation of a class of discrete-time stochastic bilinear systems are studied, the extended least squares (ELS) algorithm are used to estimate unknown parameters of the system, and two simulation examples show that the ELS algorithms of the modeling and simulation are effective for discrete-time stochastic bilinear systems with correlated noises and unknown parameters...
This paper deals with the problem of reliable control against controller failure for a class of uncertain discrete time systems with both state and input delay. The considered system is modeled as uncertain discrete switched system with stable and unstable subsystem. Based on average dwell time method, the sufficient conditions of exponential stability for system are given in terms of linear matrix...
By using `localization' method, an improved algorithm of discrete time system multi-model adaptive control (MMAC) is given in this paper. The system to be controlled can be a deterministic system (noise free) or a stochastic system with bounded random disturbances, and the parameters of the system are unknown. Multiple models of the system are set up to cover the uncertainties of the system dynamics...
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