Exergy and Irreversible Entropy Production Thermodynamic Concepts for Control Design: Nonlinear Systems

2006 14th Mediterranean Conference on Control and Automation ◽

10.1109/med.2006.328728 ◽

2006 ◽

Cited By ~ 2

Author(s):

Rush D. Robinett ◽

David G. Wilson

Keyword(s):

Nonlinear Systems ◽

Entropy Production ◽

Control Design

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Exergy and Irreversible Entropy Production Thermodynamic Concepts for Control Design: Nonlinear Systems

2006 14th Mediterranean Conference on Control and Automation ◽

10.1109/med.2006.236559 ◽

2006 ◽

Author(s):

Rush D. Robinett III

Keyword(s):

Nonlinear Systems ◽

Entropy Production ◽

Control Design

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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 ◽

Cited By ~ 12

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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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 ◽

Control Design

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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 ◽

Cited By ~ 47

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 ◽

Fuzzy State

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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 ◽

Cited By ~ 3

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 ◽

Cited By ~ 66

Author(s):

Shuai Sui ◽

C. L. Philip Chen ◽

Shaocheng Tong

Keyword(s):

Nonlinear Systems ◽

Finite Time ◽

Control Design ◽

Stochastic Nonlinear Systems ◽

Time Control ◽

Fuzzy Adaptive

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Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming

Information Sciences ◽

10.1016/j.ins.2014.05.050 ◽

2014 ◽

Vol 282 ◽

pp. 167-179 ◽

Cited By ~ 91

Author(s):

Ding Wang ◽

Derong Liu ◽

Hongliang Li ◽

Hongwen Ma

Keyword(s):

Neural Network ◽

Optimal Control ◽

Dynamic Programming ◽

Nonlinear Systems ◽

Control Design ◽

Adaptive Dynamic Programming ◽

Uncertain Nonlinear Systems ◽

Robust Optimal Control ◽

Adaptive Dynamic

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A Robust Asynchronous Sampled-Data Control Design for Nonlinear Systems with Actuator Failures

Applied Sciences ◽

10.3390/app7090875 ◽

2017 ◽

Vol 7 (9) ◽

pp. 875 ◽

Cited By ~ 2

Author(s):

Leonardo Acho ◽

Pablo Buenestado

Keyword(s):

Nonlinear Systems ◽

Control Design ◽

Sampled Data ◽

Actuator Failures ◽

Data Control ◽

Sampled Data Control

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