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This paper presents a robust control method for uncertain nonminimum phase systems with external disturbances.
This paper, presents a direct adaptive control design method for uncertain nonlinear non-minimum phase systems.
This paper proposes a novel distributed estimation and control method for uncertain plants.
In this paper, an interval sliding mode observer design method for uncertain systems is proposed.
This paper presents an H2 robust fault tolerant controller design method for uncertain systems in the presence of unknown failures.
Based on the variable structure control (VSC) theory, we develop an adaptive fuzzy control system design method for uncertain Takagi Sugeno fuzzy models with norm-bounded uncertainties.
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(3) Also the comparison methods for uncertain linguistic variables therein are far from perfect, which require either complicated computing process or may cause non-distinguishable cases.
The main motivation comes from recent discretization methods for uncertain systems, that produce polynomially parameter-dependent discretized systems of arbitrary degree with norm-bounded terms.
The paper takes advantage of the recent advances in model invalidation using Set-Valued Observers (SVOs) that led to the development of FDI methods for uncertain linear time-varying systems, with promising results in terms of the time required to diagnose faults.
In "An Improved Method for Completely Uncertain Biological Network Alignment," B. Shen et al. designed an improved method to analyze uncertain biological networks by complete probabilistic biological network alignment.
(3) A more appropriate method for comparing uncertain linguistic variables named dominance index is proposed, which can simplify the calculation process significantly.
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