NEURAL NETWORK-BASED DIGITAL REDESIGN APPROACH FOR CONTROL OF UNKNOWN CONTINUOUS-TIME CHAOTIC SYSTEMS

DOI10.1142/S021812740501340XzbMath1092.93556OpenAlexW2090632164MaRDI QIDQ5474302

Jose I. Canelon, Heidar A. Malki, Shu-Mei Guo, Leang San Shieh

Publication date: 23 June 2006

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021812740501340x

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Digital control/observation systems (93C62) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Cites Work

• Neural networks for control systems - a survey
• Multilayer feedforward networks are universal approximators
• Refined design method for sampled-data control systems: the pseudo-continuous-time (PCT) control system design
• Hybrid state-space self-tuning control using dual-rate sampling
• YET ANOTHER CHAOTIC ATTRACTOR
• HYBRID CHAOS SYNCHRONIZATION

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