The analytical solutions to the inverse problem for linear quadratic optimal control

Abstract

operation mode of sintering process is developed and combined with knowledge-based model in order to realize the operation mode recognition of sintering process. Then, the burning through point control subsystem and the subsystem for abnormity diagnosing are presented using artificial neural network and expert system. A real-time intelligent guiding system for controlling sintering process is integrated based on these researches.

Research and application of fuzzy control with multiple weighted factors by genetic algorithm

“…Fuzzy control is a technology to imitate the logical thinking of human beings without depending on the controlled object. It executes approximate reasoning based on the prior experience and knowledge of the field experts and has achieved excellent effect [1]. For the complex system with nonlinearity uncertainty, if wanting to obtain good performance then it needs perfect control rules.…”