Model reference adaptive control system of a catalytic fluidized bed reactor

Koutchoukali, M.S.; Laguérie, C.; Najim, K.

doi:10.1016/0005-1098(86)90109-3

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…It should be emphasized that all the aforementioned fruits 20‐30 merely following their interests for the asymptotic control researches, and for finite‐time control which processes higher engineering control efficiency, none of the aforementioned results 20‐30 were considered. However, for many practical industrial nonlinear systems, such as the boiler water temperature automatic control system 31 and the fluid control system, 32 the water temperature and the liquid storage in open flume are necessary to reach the set temperature and the water level in finite time, respectively, therefore the broad application of finite‐time control in industrial fields has stimulated the development of the related theoretical researches (see the related works 33‐37 ). Finite‐time fault‐tolerant control algorithms were offered in References 33 and 34 for the nonlinear systems, and adaptive finite‐time tracking control was realized in Reference 35 for the uncertain strict‐feedback nonlinear system with full state constraints.…”

Section: Introductionmentioning

confidence: 99%

Practical finite‐time sampled‐data output consensus for a class of nonlinear multiagent systems via output feedback

Mao

Huang

Xiang

et al. 2020

Intl J Robust & Nonlinear

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This article devotes a practical finite‐time sampled‐data output consensus investigation for a class of nonlinear multiagent systems with unavailable velocities and undirected topology via output feedback. Noticing that the focused multiagent system features nonlinearities with non‐Lipschitz restriction, and the outputs of the agents are detectable only at the sampling instants, a reduced‐order observer with the sampled output measurement is established for each follower to evaluate the unavailable velocity, and the distributed finite‐time sampled‐data consensus protocols, which are constructed by the established reduced‐order observer as well as the sampled output measurement of the agents, are developed by combining the techniques of adding a power integral and backstepping. By selecting a suitable Lyapunov function candidate, we can verify that the developed sampled‐data consensus protocols which work under the allowable sampling period and the appropriate design parameters can solve the considered practical finite‐time output consensus problem. Finally, two simulation examples, include a numerical and an engineering simulations, are provided to reveal the effectiveness and availability of the proposed consensus scheme.

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