LMIs in Control/Click here to continue/Optimal control systems/H2-optimal Full-state Feedback control

Full State Feedback Optimal Control Full State Feedback in general has the goal of positioning a system's closed loop poles in a desired location. This allows us to specify the performance of the system such as requiring stability or bounding the overshoot of the output. By minimizing the norm of this system we are minimizing the effect noise has on the system as part of the performance specifications, particularly when there is information about the distribution of the noise. The System The system is represented using the 9-matrix notation shown below. where is the state, is the regulated output, is the sensed output, is the exogenous input, and is the actuator input, at any . The Data , , , , , , , , are known. The LMI: Optimal Output Feedback Control LMI The following are equivalent. 1) There exists a such that 2) There exists , and such that where Conclusion: This LMI solves the optimal full state feedback problem and finds the upper bound of the norm of the system, . In addition to this the controller is also found in the process. Implementation This implementation requires Yalmip and Sedumi. https://github.com/eoskowro/LMI/blob/master/FSF_H2.m Related LMIs Full State Feedback Optimal LMI External Links LMI Methods in Optimal and Robust Control - A course on LMIs in Control by Matthew Peet. LMI Properties and Applications in Systems, Stability, and Control Theory - A List of LMIs by Ryan Caverly and James Forbes. LMIs in Systems and Control Theory - A downloadable book on LMIs by Stephen Boyd. LMIs in Control Systems: Analysis, Design and Applications - by Guang-Ren Duan and Hai-Hua Yu, CRC Press, Taylor & amp; Francis Group, 2013. A Course in Robust Control Theory: a Convex Approach, - by Geir E. Dullerud and Fernando G. Paganini, Springer, 2011, Chapter 6. Return to Main Page: