2011
DOI: 10.1016/j.isatra.2010.12.005
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Stabilizing model predictive control for constrained nonlinear distributed delay systems

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Cited by 11 publications
(2 citation statements)
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“…However, the main drawback is that such additional constraint leads to the increase of computation burden and even resulting infeasible problem. To overcome these deficiencies, a finite region, which takes the form of Lyapunov–Razumikhin arguments, is employed instead of the strong constraint in [9]. Besides, by combining Lyapunov–Razumikhin and Lyapunov–Krasovskii arguments, a local control law is established to guarantee the stability of systems.…”
Section: Introductionmentioning
confidence: 99%
“…However, the main drawback is that such additional constraint leads to the increase of computation burden and even resulting infeasible problem. To overcome these deficiencies, a finite region, which takes the form of Lyapunov–Razumikhin arguments, is employed instead of the strong constraint in [9]. Besides, by combining Lyapunov–Razumikhin and Lyapunov–Krasovskii arguments, a local control law is established to guarantee the stability of systems.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, another type of time delays, namely, distributed time-delays, has drawn much research interest. This is mainly because the signal propagation is often distributed during a certain time period with the presence of an amount of parallel pathways with a variety of axon sizes and lengths [9][10][11]. In [12], the state feedback control problems for a class of discrete-time stochastic systems with distributed delays were studied.…”
Section: Introductionmentioning
confidence: 99%