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Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2012 Vol.2(5): 800-805 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.211

Optimal Control with Fuzzy State Space Modeling Using Riccati Equation

Venkata Ramu G., Padmanabhan K., and Ananthi S.

Abstract—Fuzzy logic has a boon for nonlinear control systems. Normal fuzzy logic control with a proportional integral – Derivative (PID) controller is common. Control systems can be defined through transfer functions and states pace. relations for linear systems. Optimal control to meet a performance index is possible only through State Space analysis. Optimal control in state space is centered around the Riccati Equation with state variable functions that has to be solved to yield the control law or trajectory. In the control scheme of an ozone generator, optimal control with a performance index had to be implemented. The method for finding the control functions by solving the equation graphically is described. The data is used for realizing an embedded control scheme for the generator

Index Terms—Fuzzy control, neuro-fuzzy systems, fuzzy system model, process control

The authors are with Department, University of Madras, Chennai-600025, and India (e-mail:ananthibabu@yahoo.com).

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Cite: Venkata Ramu G., Padmanabhan K., and Ananthi S., "Optimal Control with Fuzzy State Space Modeling Using Riccati Equation," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 800-805, 2012.

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