A<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0003.gif" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mo>∞</mml:mo></mml:mrow></mml:msub></mml:math>control for optimizing the advanced oxidation processes—Case of a catalytic ozonation reactor

Abouzlam, Manhal; Ouvrard, Régis; Mehdi, Driss; Pontlevoy, Florence; Gombert, Bertrand; Leitner, Nathalie Karpel Vel; Boukari, Sahidou O.B.

doi:10.1016/j.conengprac.2015.07.007

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“…For all these reasons, and the fact that the solvers are available to users, these tools have gained very rapidly a large reputation and are intensively used on applications. See [2,47,85,103,104] to cite just a few in different application fields.…”

Section: Non-lyapunov-based Approachesmentioning

confidence: 99%

From static output feedback to structured robust static output feedback: A survey

Sadabadi

Peaucelle

2016

Annual Reviews in Control

199

137

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This paper reviews the vast literature on static output feedback design for linear time-invariant systems including classical results and recent developments. In particular, we focus on static output feedback synthesis with performance specifications, structured static output feedback, and robustness. The paper provides a comprehensive review on existing design approaches including iterative linear matrix inequalities heuristics, linear matrix inequalities with rank constraints, methods with decoupled Lyapunov matrices, and non-Lyapunov-based approaches. We describe the main difficulties of dealing with static output feedback design and summarize the main features, advantages, and limitations of existing design methods.

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Section: Non-lyapunov-based Approachesmentioning

confidence: 99%