Minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach

International Journal of Systems Science ◽

10.1080/00207720412331303705 ◽

2004 ◽

Vol 35 (13-14) ◽

pp. 775-785 ◽

Author(s):

J. Imae * ◽

N. Ohtsuki ◽

Y. Kikuchi ◽

T. Kobayashi

Keyword(s):

Nonlinear Systems ◽

Genetic Programming ◽

Control Design ◽

Collective Unconscious ◽

Minimax Control

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A minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. ◽

10.1109/cec.2003.1299878 ◽

2004 ◽

Author(s):

J. Imae ◽

N. Ohtsuki ◽

Y. Kikuchi ◽

T. Kobayashi

Keyword(s):

Nonlinear Systems ◽

Genetic Programming ◽

Control Design ◽

Collective Unconscious ◽

Minimax Control

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A minimax control design for nonlinear systems based on genetic programming: Jung collective unconscious approach

2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508) ◽

10.1109/cacsd.2004.1393897 ◽

2005 ◽

Author(s):

J. Imae ◽

N. Ohtsuki ◽

Y. Kikuchi ◽

T. Kobayashi

Keyword(s):

Nonlinear Systems ◽

Genetic Programming ◽

Control Design ◽

Collective Unconscious ◽

Minimax Control

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Adaptive Backstepping Control Design for Uncertain Non-smooth Strictfeedback Nonlinear Systems with Time-varying Delays

International Journal of Control Automation and Systems ◽

10.1007/s12555-019-0046-0 ◽

2019 ◽

Vol 17 (9) ◽

pp. 2220-2233 ◽

Author(s):

Shuo Zhang ◽

Wen-yue Cui ◽

Fuad E. Alsaadi

Keyword(s):

Nonlinear Systems ◽

Control Design ◽

Backstepping Control ◽

Time Varying ◽

Adaptive Backstepping ◽

Adaptive Backstepping Control

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Adaptive Fuzzy Output-Feedback Control Design for a Class of p-Norm Stochastic Nonlinear Systems With Output Constraints

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2021.3063084 ◽

2021 ◽

pp. 1-13

Author(s):

Liandi Fang ◽

Shihong Ding ◽

Ju H. Park ◽

Li Ma

Keyword(s):

Feedback Control ◽

Nonlinear Systems ◽

Output Feedback ◽

Output Feedback Control ◽

Control Design ◽

Stochastic Nonlinear Systems ◽

Adaptive Fuzzy ◽

Output Constraints

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Adaptive control design using delayed dynamical neural networks for a class of nonlinear systems

Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) ◽

10.1109/robot.2001.933151 ◽

2002 ◽

Author(s):

Wen-Shyong Yu ◽

Gwo-Chuan Wang

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Control Design ◽

Dynamical Neural Networks

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Efficient Minimax Control Design for Prescribed Parameter Uncertainty

Journal of Guidance Control and Dynamics ◽

10.2514/1.3968 ◽

2004 ◽

Vol 27 (6) ◽

pp. 1009-1016 ◽

Author(s):

Dirk Tenne ◽

Tarunraj Singh

Keyword(s):

Parameter Uncertainty ◽

Control Design ◽

Minimax Control

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Tracking control design based on symbolic fuzzy switching for nonlinear systems

2013 International Conference on Computer Applications Technology (ICCAT) ◽

10.1109/iccat.2013.6522058 ◽

2013 ◽

Author(s):

L. Lamloumi ◽

Adel Yaich ◽

A. Chaari

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

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fuzzy state-feedback control design for nonlinear systems with -stability constraints: An LMI approach

Mathematics and Computers in Simulation ◽

10.1016/j.matcom.2007.07.002 ◽

2008 ◽

Vol 78 (4) ◽

pp. 514-531 ◽

Author(s):

Wudhichai Assawinchaichote ◽

Sing Kiong Nguang ◽

Peng Shi ◽

El-Kébir Boukas

Keyword(s):

Feedback Control ◽

Nonlinear Systems ◽

State Feedback ◽

Control Design ◽

State Feedback Control ◽

Lmi Approach ◽

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Probabilistic control design for continuous-time stochastic nonlinear systems: a PDF-shaping approach

Proceedings of the 2004 IEEE International Symposium on Intelligent Control, 2004. ◽

10.1109/isic.2004.1387671 ◽

2005 ◽

Author(s):

M. Forbes ◽

M. Guay ◽

J.F. Forbes

Keyword(s):

Nonlinear Systems ◽

Continuous Time ◽

Control Design ◽

Stochastic Nonlinear Systems

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Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2018.2882167 ◽

2019 ◽

Vol 27 (1) ◽

pp. 172-184 ◽

Author(s):

Shuai Sui ◽

C. L. Philip Chen ◽

Shaocheng Tong

Keyword(s):

Nonlinear Systems ◽

Finite Time ◽

Control Design ◽

Stochastic Nonlinear Systems ◽

Time Control ◽

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