LI Xiang, CHEN Zeng-qiang, YUAN Zhu-zhi. STUDY OF CHAOS IDENTIFICATION AND CONTROL BASED ON WIENER MODEL[J]. INFORMATION AND CONTROL, 2001, 30(3): 227-230.
Citation:
LI Xiang, CHEN Zeng-qiang, YUAN Zhu-zhi. STUDY OF CHAOS IDENTIFICATION AND CONTROL BASED ON WIENER MODEL[J]. INFORMATION AND CONTROL, 2001, 30(3): 227-230.
LI Xiang, CHEN Zeng-qiang, YUAN Zhu-zhi. STUDY OF CHAOS IDENTIFICATION AND CONTROL BASED ON WIENER MODEL[J]. INFORMATION AND CONTROL, 2001, 30(3): 227-230.
Citation:
LI Xiang, CHEN Zeng-qiang, YUAN Zhu-zhi. STUDY OF CHAOS IDENTIFICATION AND CONTROL BASED ON WIENER MODEL[J]. INFORMATION AND CONTROL, 2001, 30(3): 227-230.
STUDY OF CHAOS IDENTIFICATION AND CONTROL BASED ON WIENER MODEL
An identification structure based on Wiener model is presented for chaotic system,and an extended kalman filter algorithm is used to quicken neural training.A novel nonlinear general predictive control paradigm is developed to control chaos,and a incremental gene is introduced to improve dynamic system performance.Simulation studies verify effectiveness of our proposed identification and control structure.
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