THE PROBLEMS WE FACE
Generally speaking, by using most of the traditional adaptive control, robust control, and intelligent control methods discussed briefly above, the control system has to be designed with high level expertise that average users do no have. Due to the complexity of implementing these methods, commercially practical control of complex systems is very difficult and expensive.
Consequently, a need exists for a generic controller that can be used easily and effectively to control a wide variety of simple and complex systems.
The controller should have good self learning and adaptation capabilities to cope with uncertainties in the system. Moreover, the controller should be based on the closed loop real time input/output data and qualitative knowledge of the system behavior only. Neither off-line identification nor precise knowledge of system dynamics should be required. The controller design procedures should be greatly simplified or even eliminated.
This is a very ambitious goal, a goal that sounds like a dream. However, let us keep the dream alive.
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