Integrated modular neural intelligent control systems

An integrated intelligent control approach is proposed for the design of high performance control systems based on advanced sensor processing, and neural fuzzy control integration. Our approach features the following innovations: 1) the complexity and uncertainty issues are addressed via the distributed parallel processing, learning, and online reoptimization properties of neural networks; 2) the nonlinear dynamics and the severe coupling can be naturally incorporated into the design framework; and 3) the knowledge base and decision making logic furnished by fuzzy systems leads to a human intelligence enhanced control scheme. In addition, fault tolerance, health monitoring and reconfigurable control strategies can be accommodated by this approach to ensure stability graceful degradation and reoptimization in the case of failures, malfunctions and damage.