An improved neural network based targeting method for chaotic dynamics.

DOI10.1016/S0960-0779(02)00395-8zbMath1098.93016OpenAlexW1980779147MaRDI QIDQ1419362

Serdar Iplikci, Yagmur Denizhan

Publication date: 14 January 2004

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0960-0779(02)00395-8

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Complex behavior and chaotic systems of ordinary differential equations (34C28)

Related Items (2)

Utilization of SOMA and differential evolution for robust stabilization of chaotic logistic equation ⋮ Stabilization of Chaotic Logistic Equation Using HC12 and Grammatical Evolution

Cites Work

• Directing orbits of chaotic systems in the presence of noise: Feedback correction
• Controlling chaotic dynamical systems using time delay coordinates
• Creating periodic orbits in chaotic systems
• Mixed Strategy Global Sub-Optimal Feedback Control for Chaotic Systems
• GEOMETRY OF TARGETING OF CHAOTIC SYSTEMS
• DIRECTING ORBITS OF CHAOTIC DYNAMICAL SYSTEMS
• Controlling chaos
• Using the sensitive dependence of chaos (the ‘‘butterfly effect’’) to direct trajectories in an experimental chaotic system
• Controlling chaos in high dimensional systems
• Optimal chaos control through reinforcement learning
• Targeting Applying ε-Bounded Orbit Correction Perturbations
• Controlling chaotic dynamical systems
• Control of chaotic systems using targeting by extended control regions method

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