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Predictive optimal control (POC) combined with artificial neural networks (ANNs) modeling and advanced heuristic optimization is a powerful technique for intelligent control. But actual implementation of the POC in complex industrial processes is limited by its known drawbacks, including the oscillation resulting from random search direction, difficulty in meeting the real-time requirement, and unresolved...
A decentralized approach is considered for developing the solution of the motion control problem of Large Flexible Space Structures. A minimum state error variance control philosophy has been used to develop a decentralized state feedback controller that minimizes a single-step quadratic performance index at each control location. The resulting controller uses a decentralized Kalman predictor and...
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