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When multiple parameters jump simultaneously, a multiple models adaptive decoupling controller using dimension-by-dimension technology is presented to solve the problems such as too many models, long computing time and so on. To find the optimal parameter, it adopts one-dimension optimization method in series instead of multiple-dimension optimization method in parallel. At any time only one parameter...
The tracking problem for continuous-time systems with multiple input delays is investigated. Via Krein space method, the problem with multiple input delays is dual to that of fixed-lag smoothing for a stochastic model without delay. The optimal tracking controller is then designed by computing the gain matrices of the fixed-lag smoothing
In this paper, an adaptive fuzzy control approach for complex task involving robot/environment interaction is presented. The approach implementation is based on fuzzy logic controller (FLC) design and optimization methodology which operates in two stages. In the first stage, the FLC parameters are trained and optimized offline using a method based on Solis' and Wetts' algorithm so that the constraints...
A multivariable multi-objective approach has been presented for the design of servo controller for a dual-stage actuator system. The designed control algorithm instructs the two actuators to cooperate towards a faster track seeking and better disturbance rejection than any actuator acting alone. Cooperation is explicitly formulated as control objectives and the optimal control algorithm is designed...
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