Generalized Arnoldi methods for the Sylvester-observer equation and the multi-input pole placement problem

Author(s):  
B.N. Datta ◽  
C. Hetti
1999 ◽  
Vol 302-303 ◽  
pp. 331-345 ◽  
Author(s):  
D. Calvetti ◽  
B. Lewis ◽  
L. Reichel

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 212
Author(s):  
Ning He ◽  
Yichun Jiang ◽  
Lile He

An analytical model predictive control (MPC) tuning method for multivariable first-order plus fractional dead time systems is presented in this paper. First, the decoupling condition of the closed-loop system is derived, based on which the considered multivariable MPC tuning problem is simplified to a pole placement problem. Given such a simplification, an analytical tuning method guaranteeing the closed-loop stability as well as pre-specified time-domain performance is developed. Finally, simulation examples are provided to show the effectiveness of the proposed method.


1980 ◽  
Vol 102 (2) ◽  
pp. 106-113 ◽  
Author(s):  
E. V. Bohn

A process of condensation is used to develop a geometric programming approach to the necessary conditions for a constrained optimum in an elementary way. Special features of geometric programming not found in other optimization procedures and which offer significant advantages in the design of optimum compensators are developed. Compensator design is formulated as an optimum pole placement problem subject to a time delay response constraint. The geometric programming approach results in simple explicit equations for the optimum compensator parameters.


1978 ◽  
Vol 11 (1) ◽  
pp. 1725-1729 ◽  
Author(s):  
J.C. Willems ◽  
W.H. Hesselink

Author(s):  
Taha H. S. Abdelaziz

This paper deals with the direct solution of the pole placement problem for single-input linear systems using proportional-derivative (PD) state feedback. This problem is always solvable for any controllable system. The explicit parametric expressions for the feedback gain controllers are derived which describe the available degrees of freedom offered by PD state feedback. These freedoms are utilized to obtain closed-loop systems with small gains. Its derivation is based on the transformation of linear system into control canonical form by a special coordinate transformation. The solving procedure results into a formula similar to Ackermann’s one. In the present work, both time-invariant and time-varying linear systems are treated. The effectiveness of the proposed method is demonstrated by the simulation examples of both time-invariant and time-varying systems.


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