In Applications of Fuzzy Logic, the world's leading fuzzy logic experts present detailed coverage of new applications that deliver exceptionally high levels of autonomy and adaptability. These High Machine Intelligence Quotient Systems(r) combine fuzzy logic with related techniques such as neural networks and genetic algorithms, leading to significantly improved performance in a wide variety of control systems.

Applications of Fuzzy Logic brings together state-of-the-art work in industry and academia worldwide, and is edited by a team of experts that includes Lotfi Zadeh, the father of fuzzy logic. This compilation largely avoids theory, focusing instead on applications and methodology in a wide range of fields, including automotive systems, transportation problems, and mobile robotics. Among the applications presented are:

• Intelligent control and evolution of mobile robot behavior
  
  
• Neuro-fuzzy strategies for urban traffic noise monitoring
  
  
• Automotive powertrain and suspension systems
  
  
• Fuzzy control of heavy-duty hydraulic machines
  
  
• Managing uncertainty in sensor-based motion planning
  
  

Over the past several years, the tools available to fuzzy logic practitioners have expanded dramatically. This book presents broad coverage of new techniques such as:

• Synergistic fuzzy control, where a hierarchical cluster of fuzzy controllers cooperate to deliver global results in complex systems
  
  
• Fuzzy maps that can help manage uncertainty in motion sensors
  
  
• Fuzzy predictive control for nonlinear systems
  
  
• Fuzzy contract nets that negotiate to solve manufacturing problems
  
  
• Improved fuzzy neuron techniques with their associated learning algorithms
  
  
• Fuzzy moves, based in part on classical game theory
  
  

Both industry professionals and academicians will agree: Applications of Fuzzy Logic is the most detailed, up-to-date and useful review of fuzzy logic applications available.