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This paper deals with the application of robust decentralized controller design for power systems using linear matrix inequality (LMI) techniques.
Robust model-based controllers are designed for both systems using linear Nyquist techniques, and are implemented experimentally.
From the theoretical results obtained under the assumption of unbiased and uncorrelated estimation errors, simple guidelines for the design of multiple classifier systems using linear combiners are given.
The focus of the research is on the design of a decentralized output feedback controller for a class of large-scale systems using linear matrix inequalities (LMI).
In this paper, a scheme for decentralized robust control for control affine nonlinear interconnected systems using linear matrix inequalities (LMIs) is presented.
ElGamal public key cryptosystem is described through the proposed Diffie–Hellman key exchange protocol based on the synchronized chaotic systems using linear feedback control and their security are analyzed.
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Control of rational systems using linear-fractional representations and linear matrix inequalities.
In this paper, multi-objective control of a half-car suspension system using linear matrix inequalities is studied.
Then, stabilizing controllers with norm bounded gain uncertainties are designed for the control design system using linear matrix inequalities (LMIs) for the delay-independent stability.
Then, the uncertainty analysis is applied to examine if it can improve instability prediction of a nonlinear system using linear methods and its limitations.
There has been past research for ACC systems aimed at designing a vehicle following distance control system using linear approximation and linear control logic [8].
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