Regional pole placement via low-order controllers with extensions to simultaneous stabilization

2001 ◽  
Author(s):  
Shaopeng Wang ◽  
J.H. Chow
Keyword(s):  
Pole Placement ◽  
Simultaneous Stabilization ◽  
Regional Pole Placement ◽  
Low Order

Periodic controller for guaranteed simultaneous stabilization of two plants with robust zero error tracking

2018 ◽  
Vol 233 (5) ◽  
pp. 480-490
Author(s):  
Arindam Chakraborty ◽  
Jayati Dey
Keyword(s):  
Design Methodology ◽  
Linear Time ◽  
Pole Placement ◽  
Control Input ◽  
Efficient Design ◽  
Simultaneous Stabilization ◽  
Bounded Control ◽  
Linear Time Invariant ◽  
Time Invariant ◽  
Time Periodic

The guaranteed simultaneous stabilization of two linear time-invariant plants is achieved by continuous-time periodic controller with high controller frequency. Simultaneous stabilization is accomplished by means of pole-placement along with robust zero error tracking to either of two plants. The present work also proposes an efficient design methodology for the same. The periodic controller designed and synthesized for realizable bounded control input with the proposed methodology is always possible to implement with guaranteed simultaneous stabilization for two plants. Simulation and experimental results establish the veracity of the claim.

Regional Pole Placement via Static Output Feedback Based on Coordinate Transformation

2012 ◽  
Vol 546-547 ◽  
pp. 916-921
Author(s):  
Hai Bin Shi ◽  
Li Qi
Keyword(s):  
Output Feedback ◽  
Coordinate Transformation ◽  
Pole Placement ◽  
Linear Matrix ◽  
Feedback Gain ◽  
Static Output Feedback ◽  
Gain Matrix ◽  
Matrix Variable ◽  
Regional Pole Placement ◽  
Static Output

This paper focuses on the regional pole placement via static output feedback. Under proper state coordinate transformation with a free matrix variable, the static output feedback gain may be obtained by solving a linear matrix inequality (LMI). The LMI is feasible only if the poles of a dummy control system are in the given LMI region. The free matrix variable can regulate the dummy system as a state feedback gain matrix. So once the free variable is determined, the static output feedback gain matrix may be obtained by an LMI-based method. The main computations do not concern any reduction or enlargement of matrix inequalities. Numerical examples show the effectiveness of the proposed algorithm.

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