Titlebook: Soft Computing and Industry; Recent Applications Rajkumar Roy,Mario K?ppen,Frank Hoffmann Book 2002 Springer-Verlag London 2002 Chaos.Fuzzy

障礙物

ascetic

ERUPT

graphy

不能妥協(xié)

Intelligent Control of a Battery Charging Process with a Hybrid Approache soft computing techniques and mathematical models to achieve the goal of controlling the electrochemical process to follow a desired production plan. We have developed several hybrid architectures that combine fuzzy logic, neural networks, and genetic algorithms, to compare the performance of each

Ovulation

四指套

Intelligent Control of Robotic Autonomous Systems using a Neuro-Fuzzy-Genetic Approachks, fuzzy logic, and genetic algorithms. Intelligent control of robotic systems is a difficult problem because the dynamics of these systems is highly non-linear. We describe an intelligent system for controlling robotic systems to illustrate our new hybrid approach for adaptive control. We use a ne

Palliation

Prediction of Power Requirement in Turning using a GA-Fuzzy Approachk, power requirement in turning is expressed as a function of three inputs, namely cutting speed, feed and depth of cut and this process is modelled using a combined GA-Fuzzy approach. An optimized knowledge base (KB) of the fuzzy logic controller (FLC) which is the representative of the KB of a Lat

CLIFF

不來

Some Realisation Issues of Fuzzy Gain-Scheduling Controllers: a Robotic Manipulator Case Studyn case study is the control of robotic manipulator with a single link. A conventional fuzzy gain-scheduling controller, where parameters of a linear controller are blended with fuzzy logic, and an alternative one, where realisation is based on velocity-based linearisation are compared. Local control