A neuro approach to solve fuzzy Riccati differential equations

There are many applications of optimal control theory especially in the area of control systems in engineering. In this paper, fuzzy quadratic Riccati differential equation is estimated using neural networks (NN). Previous works have shown reliable results using Runge-Kutta 4th order (RK4). The solu...

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Hauptverfasser:	Shahrir, Mohammad Shazri, Telekom Malaysia, R&D TM Innovation Centre, LingkaranTeknokrat Timur, 63000 Cyberjaya, Selangor, Kumaresan, N., Kamali, M. Z. M., Ratnavelu, Kurunathan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS CONTROL SYSTEMS Control theory Differential equations FUZZY LOGIC Fuzzy systems NEURAL NETWORKS NONLINEAR PROBLEMS ONE-DIMENSIONAL CALCULATIONS OPTIMAL CONTROL RICCATI EQUATION RUNGE-KUTTA METHOD
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