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Parameter estimation is the key step to improve the precision of a mechanistic model, which is fundamental for simulation, control and optimization of industrial processes. A novel method based on nonlinear optimization has been developed to estimate the initial selectivities of the first-order primary reaction for the naphtha decomposition. The proposed approach is to minimize the discrepancy between...
A learning algorithm for dynamic recurrent Elman neural networks is proposed based on an improved adaptive genetic algorithm. The proposed algorithm performs the evolution of network structure, weights, initial inputs of the context units and self-feedback coefficient of the modified Elman network together. Two dynamic identification algorithms for nonlinear systems are constructed successively based...
Hybrid controller based on fuzzy logic system is designed for a class of nonlinear multivariable systems. The nonlinear systems involve plant uncertainties and external disturbances. The controller is based on a combination of the Hinfin tracking theory, fuzzy logic system and supervisor control algorithm (SCA). The robust stability of the control system is proofed in the paper. When apply the hybrid...
Delayed feedback control (DFC) is a powerful method for stabilizing unstable periodic orbits embodied in chaotic attractors, but it has an odd number limitation, that is DFC can never stabilize a target unstable periodic orbit of a chaotic system if the transition matrix of the linearized system around the unstable periodic orbit has an odd number of real eigenvalues greater than unity. In this paper,...
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