When can the decentralised state feedback be realised as a static output feedback?

1994 ◽  
Vol 141 (2) ◽  
pp. 104-106 ◽  
Author(s):  
P. Fessas ◽  
C. Parisses
Author(s):  
Mustefa Jibril ◽  
Messay Tadese ◽  
Roman Jirma

In this paper, a metal cutting machine position control have been designed and simulated using Matlab/Simulink Toolbox successfully. The open loop response of the system analysis shows that the system needs performance improvement. Static output feedback and full state feedback H2 controllers have been used to increase the performance of the system. Comparison of the metal cutting machine position using static output feedback and full state feedback H2 controllers have been done to track a set point position using step and sine wave input signals and a promising results have been analyzed.


Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 756 ◽  
Author(s):  
Li Li ◽  
Fucheng Liao

We consider the problems of state feedback and static output feedback preview controller (PC) for uncertain discrete-time multiple-input multiple output (MIMO) systems based on the parameter-dependent Lyapunov function and the linear matrix inequality (LMI) technique in this paper. First, for each component of a reference signal, an augmented error system (AES) containing previewed information is constructed via the difference operator and state augmentation technique. Then, for the AES, the state feedback and static output feedback are introduced, and when considering the output feedback, a previewable reference signal is utilized by modifying the output equation. The preview controllers’ parameter matrices can be achieved from the solution of LMI problems. The superiority of the PC is illustrated via two numerical examples.


Author(s):  
MOURAD KCHAOU ◽  
AHMED TOUMI ◽  
MANSOUR SOUISSI

This paper is concerned with the problem of non-fragile (resilient) H∞ control for a class of state-delay nonlinear discrete-time systems described by (TS) fuzzy models where both the state feedback and static output feedback are investigated. Based on basis-dependent Lyapunov-krasovskii function, sufficient conditions are derived to achieve the system stability and the H∞ performance. The linear matrix inequality (LMI) approach is proposed to obtain the state-feedback gains, and a homotopy-based iterative LMI algorithm is developed to get the static output feedback gains. An illustrative example shows the effectiveness and the feasibility of the theoretical developments.


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