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The combination of global dynamics concepts with State-Feedback (SF) and OF nonlinear control tools yields a linear dynamical OF saturated control design with: (i) robust stability conditions in terms of the controller gains and saturation limits, and (ii) simple tuning guidelines.
Nyquist stability conditions are used to derive the stability region for each PI controller in terms of the controller parameters.
The virtual quasi-polynomials are obtained in a simple way, and they are expressed in terms of the controller and the Kharitonov polynomials of the interval plants.
This motivates us for applying CFE based analog realization technique for complicated FO controller structures to get equivalent rational transfer functions in terms of the controller tuning parameters.
For exact friction compensation, design criteria in terms of the controller and observer parameter settings guaranteeing global exponential stability of the set-point are proposed.
In this paper, various existing solar tracking systems in terms of the controller used like PLC, microcontroller, FPGA to design the system and their economic assessment have been studied.
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The dominant pole expansions in terms of the PI controller gains by Hwang and Chang (1987, Chem. Engng Sci.42, 2395-2415) arextendeded to cover general PID control systems.
All of the controllers are compared in terms of the effectiveness of the controller to compensate for the friction as well as robustness against inertia and friction variations.
The proposed new learning algorithm makes direct use of the variable structure systems theory and establishes a sliding motion in terms of the neuro-fuzzy controller parameters, leading the learning error toward zero.
The approximation ability and control performance are compared with those of the conventionally simplified COG defuzzifier in terms of the fuzzy logic controller's approximation error and the average tracing distance, respectively.
In terms of the algorithm design, the controller has not been rigorously studied for stability and robustness from an engineering standpoint and will need this testing before clinical studies can commence.
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