Titlebook: Methods and Applications of Intelligent Control; Spyros G. Tzafestas Book 1997 Springer Science+Business Media Dordrecht 1997 Fuzzy.Sensor

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Stagger

评论性

Fuzzy Adaptive Control Versus Model Reference Adaptive Control of Mutable Processesfies the desired dynamics of the closed-loop system. The reference model can also be implicitly included in the closed-loop system as a cancellation principle. The cancellation principle of model-reference control has been used to develop a fuzzy adaptive system.

偏离

前奏曲

opalescence

2213-8986 g the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational

外星人

Intelligent Control Using Artificial Neural Networks and Fuzzy Logic: Recent Trends and Industrial Aears, the intelligent control has emerged as one of the most active and fruitful area of Research and Development(R&D) within the spectrum of engineering disciplines with a variety of industrial applications[.]–[.],[.]–[.].

树木心

Fuzzy Model Based Predictive Controllerdel based controllers, the inverse model based fuzzy controllers behave like high pass filters that may amplify the noise and cause saturations in the actuators. Practical remedies to this problem are discussed. Two examples are given to illustrate the methodology.

横截,横断

Intelligent Control for a Robotic Acrobat to force the acrobot to reach its vertical upright position with near zero velocity on both links. Then, when the links are close to the inverted position, a balancing controller is switched on and used to maintain the acrobot in the inverted position (again, see Figure 1).

归功于

Book 1997nt years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research.