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Fuzzy Control Systems

Editat de Dinko Vukadinovic
en Limba Engleză Hardback – 22 apr 2012
Recently, the fuzzy logic-based technique has received attention world-wide and has been becoming an emerging area with significant application possibilities. Fuzzy control theory is a combination of the fuzzy theory and the control system theory. It is a practical alternative for a variety of challenging control applications since it provides methods for designing non-linear controllers by the use of heuristic information. Fuzzy logic problems deal with situations that may have several reasonable solutions. The objective is to find the best of these possible solutions. Control systems based on the fuzzy logic theory can become more functional and flexible in comparison with conventional control systems. This book presents modern scientific knowledge in fuzzy logic control theory.
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Specificații

ISBN-13: 9781613244883
ISBN-10: 1613244886
Pagini: 334
Ilustrații: Illustrations
Dimensiuni: 189 x 259 x 24 mm
Greutate: 0.84 kg
Editura: Nova Science Publishers Inc

Cuprins

Generalized Learning-Based Fuzzy Environment Model; Fuzzy Network Control Systems based upon a Real-time Implementation; Application of Fuzzy Control to System Dynamics Modelling; Fuzzy Decision Support Simulation System for Inventory Control with Stochastic Lead Time & Demand; Fuzzy Control System for Obstacle Detection in 3D Tracking; Fuzzy State-Feedback Control Design for Switching DC-DC Converters with Pole-Placement Constraints; Fuzzy Controllers Using Hedge Algebra Based Semantics of Vague Linguistic Terms; Hybrid Fuzzy Model in Model Predictive Control for a Class of Hybrid Nonlinear Systems; Optimizing the Scaling Factors of Self-Organizing Fuzzy Logic Controller Using Genetic Algorithm; Improve Prediction Accuracy of Your Fuzzy Systems: A Simulated Annealing Approach; An Application of Stochastic H8 Regulation Control to HIV Therapy; Robust Stability Analysis of Control System with Fuzzy Parameters; Index.