Chen, Di-Yi; Zhao, Wei-Li; Ma, Xiao-Yi; Zhang, Run-Fan No-chattering sliding mode control chaos in Hindmarsh-Rose neurons with uncertain parameters. (English) Zbl 1222.37106 Comput. Math. Appl. 61, No. 10, 3161-3171 (2011). Summary: A Hindmarsh-Rose (HR) model was constructed from voltage clamp data to provide a simple description of the patterned activity seen in molluscan neurons. Its complex dynamics characters are presented, including the phase trajectory, the Lyapunov exponents and the Poincaré map. Furthermore, a no-chattering sliding mode control method for the Hindmarsh-Rose (HR) model with uncertain parameters and bounded external disturbances is proposed, and it can control the system to any point and any periodic orbit. Both the theoretical analysis and the simulation results are presented to confirm the validity of the control method. Cited in 14 Documents MSC: 37N35 Dynamical systems in control 92C20 Neural biology 34C28 Complex behavior and chaotic systems of ordinary differential equations 37D45 Strange attractors, chaotic dynamics of systems with hyperbolic behavior 93B12 Variable structure systems Keywords:Hindmarsh-Rose neuron; chaos; sliding mode control; uncertain parameter PDF BibTeX XML Cite \textit{D.-Y. Chen} et al., Comput. Math. Appl. 61, No. 10, 3161--3171 (2011; Zbl 1222.37106) Full Text: DOI References: [1] Khadra, A.; Liu, X. Z.; Shen, X., Impulsively synchronizing chaotic systems with delay and applications to secure communication, Automatica, 41, 1491-1502 (2005) · Zbl 1086.93051 [2] Liu, Y. J.; Yang, Q. G., Dynamics of a new Lorenz-like chaotic system, Nonlinear Analysis. Real World Applications, 11, 2563-2572 (2010) · Zbl 1202.34083 [3] Harb, A. M.; Nabil, A. 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