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Importantly, these results illustrate how interrelated variations in these three properties tune function of each FFRP to the environmental context in which it acts.
Training and testing of the SVM was performed using a radial basis function kernel with the e1071 package for R. Optimal parameters were chosen using the tune function in a cross-validation framework.
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Self tuning function has become a standard function of distributed control systems.
Moreover, distributed tuning function is designed to minimize the order of the parameter updater.
We propose a variable structure (VS) based adaptive control with tuning function design to achieve better results than the MRAC approach.
To make a fair comparison with the overparametrization and tuning function methods, a second-order nonlinear engine cooling system is taken as a benchmark problem.
Moreover, tuning functions are designed to reduce the order of the parameter updater.
In this sense, the adaptive backstepping procedure with tuning functions design is used for solving this problem.
The resultant control law does not involve tuning functions and, at the same time, is free of overparametrization.
The design procedure employs the basic ideas of the adaptive backstepping algorithm with tuning functions via input-output linearization, and is applicable to both triangular and nontriangular systems.
This paper also shows a comparison with a controller designed via adaptive backstepping with tuning functions, the most popular method for controlling systems of this form.
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