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This paper proposes the correlation-based model-free 2DOF controller tuning method for MIMO systems. In the proposed method, a feedback controller parameters is first tuned by using the input/output data sets obtained independently from the controlled plant as often as the number of the input dimension of the controlled plant second, a precompensator is tuned by using the same number of data sets...
This paper explores a selection method of the design parameter introduced in the extended generalized minimum variance control (GMVC) based on state-space approach by using a genetic algorithm. The extended controller has a new design parameter which can design the controller poles without changing the closed-loop poles, and the genetic algorithm is applied to find the new design parameter and select...
In this paper, a simple method to design PID controllers in the frequency domain is proposed. The method is based on the use of a single tuning factor, defined as the quotient between the final cross over frequency and the zero of the controller. Classical methods described in the basic control books propose to fix the above parameter in a predetermined value (usually 10), independently of the process...
This paper builds on previous work on optimal methodologies for the design of numerical subsystems for non-linear, uncertain hardware-in-the-loop (HWIL) simulators. Firstly, three important extensions to the existing methods are presented: the limitation to SISO systems is removed, allowing full MIMO design; a method for the design of an important and previously neglected component of the numerical...
A class of discrete-time nonlinear system and measurement equations involving incrementally conic nonlinearities with finite energy disturbances is considered. A linear matrix inequality based design approach is presented that guarantees the satisfaction of a variety of performance criteria ranging from simple estimation error boundedness to dissipativity. Simple simulation examples are included to...
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