Control theory

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These parameters are used in the design of controllers (Self Tuning Regulator c1 and Self Tuning pole placement controller c2).
The employment of linear state variable feedback (lsvf) as a means of system compensation, to achieve a number of design objectives such as arbitrary pole placement, decoupling and exact model matching has received attention in the past few years.
They cover a range of concepts and methods, including spectral properties of linear time-delay systems, pseudospectra and robust stability analysis, computation of stability regions in parameter spaces, stability regions in delay-parameter spaces, stability of delay rays and delay-interference, stability of linear periodic systems with delays, the continuous pole placement method, the robust stabilization problem, and stabilization using a direct eigenvalue optimization approach.
A discrete PID controller is designed to ensure dominant pole placement in discrete domain.
This paper provides a new explanation of this shift blurring effect, by connecting the computation of the first column of the shift polynomial to the notoriously ill-conditioned pole placement problem.
The simple pole placement control design was adopted for the controller design in this project.
State feedback theory or pole placement, is a method employed in feedback control system theory to place the closed-loop poles of a plant in pre-determined locations in the s-plane.
The pole placement methods are used for designing of time-discrete controllers.
The advanced textbook demonstrates the design and analysis of model reference adaptive controllers, adaptive pole placement schemes, adaptive control schemes for discrete-time systems, and nonlinear systems.
The discrete linear quadratic regulator (LQR) approach with pole placement is used to achieve satisfactory set-point tracking with guaranteed closed-loop stability.
This paper presents results of experiments obtained by simulations and control of the semi-batch process using PID controller without online identification, adaptive PID controller and pole placement 2 degree-of-freedom (2DOF) controller with compensator for second order processes.
The state space controller was computed by method of pole placement from the linearized form of equations 2, 3, and 4.