ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Hardware simulation of an adaptive control algorithm
MOAS'07 Proceedings of the 18th conference on Proceedings of the 18th IASTED International Conference: modelling and simulation
Model-free adaptive control design using evolutionary-neural compensator
Expert Systems with Applications: An International Journal
Fusion of soft computing and hard computing for large-scale plants: a general model
Applied Soft Computing
Hardware simulation of an adaptive control algorithm
MS '07 The 18th IASTED International Conference on Modelling and Simulation
Expert Systems with Applications: An International Journal
Type-2 fuzzy control for a flexible-joint robot using voltage control strategy
International Journal of Automation and Computing
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We present soft computing-based results pertaining to the hierarchical tuning process of PID controllers located within the control loop of a class of nonlinear systems. The results are compared with PID controllers implemented either in a stand alone scheme or as a part of conventional gain scheduling structure. This work is motivated by the increasing need in the industry to design highly reliable and efficient controllers for dealing with regulation and tracking capabilities of complex processes characterized by nonlinearities and possibly time varying parameters. The soft computing-based controllers proposed are hybrid in nature in that they integrate within a well-defined hierarchical structure the benefits of hard algorithmic controllers with those having supervisory capabilities. The controllers proposed also have the distinct features of learning and auto-tuning without the need for tedious and computationally extensive online systems identification schemes