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In this paper, a neurodynamic optimization approach is proposed for robust pole assignment of fractional-order control systems. Compared with integral-order systems, the pole assignment of fractional-order systems is more challenging due to variability of stability region. The robust pole assignment is formulated as a constrained optimization problem, and a robustness measure is derived as a pseudoconvex...
Another neurodynamic optimization approach to robust pole assignment is presented for synthesizing linear control systems. The original pseudoconvex optimization problem for robust pole assignment is reformulated as a convex optimization problem. Three coupled recurrent neural networks operating in three different time scales are developed for solving the reformulated problem in real time. It is shown...
In view of Chaos is such a complex nonlinear systems, we analyze the parameters of initial sensitivity and unpredictability, and use a universal adaptive controller based on adaptive control theory, combined with the stability of Lyaponov theory, making the system to eliminate chaos and asymptotic stability to the desired smooth orbit. Matlab simulation results have verified the efficiency of this...
A fuzzy sliding mode controller for permanent magnet synchronous motor (PMSM) is designed to solve the chatting problem in this paper. The sliding mode controller based the assumption of known uncertainty bounds often cause the chattering phenomena in the control system. So a simple fuzzy controller with sliding mode technique is used to evaluate the uncertainty bounds of PMSM which are caused by...
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