For the solution of the multi-input pole placement problem we derive explicit formulas for the subspace from which the feedback gain matrix can be chosen and for the feedback gain as well as the eigenvector matrix of the closed-loop system. We discuss which Jordan structures can be assigned and also when diagonalizability can be achieved. Based on these formulas we study the conditioning of the...

In the control theory one attempts to find a controller that provides the best possible performance with respect to some given measures of performance. There are many sorts of controllers e.g. a typical PID controller, LQR controller, Fuzzy controller etc. In the paper will be introduced polynomial controller with novel tuning method which is based on the special pole placement encoding scheme ...

This paper deals with analysis and synthesis techniques for robust pole placement in Linear Matrix Inequality (LMI) regions. The class of systems considered here is the continuous TakagiSugeno (T-S) fuzzy models with parametric uncertainties. Sufficient stability conditions are established for this class of systems. These constraints make it possible to robustly assign the closed-loop poles in ...

This paper studies the benefits the use of GSHF can afford to the pole-placement control scheme. The GSHF makes possible to locate the zeros of the discretized plant arbitrarily in the Z plane. This property can be taken advantage of to improve the performance of the pole-placement control. In this article a new design method is suggested and a simulations-based application example is carried o...

Abstract: This paper makes a comprehensive examination of likely sources that may give rise to higher-order iterative learning control (ILC) laws. Possibilities considered are higher-order model structure, improved learning speed, minimization of various quadratic cost functions, ILC designs based on predictive control, pole placement, direct and indirect adaptive control, and noise filtering. ...

This paper presents a pole-placement based control algorithm to treat ISA Fieldbus H1 delay problems. A digital network delay model is embedded with the process model in order to design a suitable closed-loop controller. The effect of different values of network delay against sampling time is analyzed. Pole-placement technique should not simplify zeros in order to achieve stability in closed-lo...

s--By making the controller adaptive, ideal performance and granted stability of the closed loop system can be achieved for even a large change in system parameters. In the present study, adaptive controllers based on minimum variance, pole placement and linear quadratic techniques are investigated. The controller based on minimum variance is noise sensitive and actuator voltage changes sign af...

For the solution of the single-input pole placement problem we derive explicit expressions for the feedback gain matrix as well as the eigenvector matrix of the closed-loop system. Based on these formulas we study the conditioning of the pole-placement problem in terms of perturbations in the data and show how the conditioning depends on the condition number of the closed loop eigenvector matri...

In this paper, we design a multi-objective controller ( ) u t to achieve the following three objectives simultaneously. They are pole placement, H∞ norm constraint and individual error state variance constraint for stochastic model reference systems. By using the invariance property of sliding mode control, the matched model reference input and the plant error term will disappear on the sliding...

This work presents an application of Linear Matrix Inequalities (LMI) for the robust control of an F-16 aircraft through an algorithm ensuring the damping factor to the closed loop system. The results show that the zero and gain settings are sufficient to ensure robust performance and stability with respect to various operating points. The technique used is the pole placement, which aims to put...