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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.
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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.
This paper presents a robust control method for uncertain nonminimum phase systems with external disturbances.
In this paper, an interval sliding mode observer design method for uncertain systems is proposed.
References [16, 17] proposed the FD method for uncertain fuzzy systems based on the delta operator approach.
This paper presents an H2 robust fault tolerant controller design method for uncertain systems in the presence of unknown failures.
In this paper, the delay-dependent non-fragile robust dissipative filter design method for uncertain nonlinear stochastic singular time-delay systems with Markovian jump parameters is considered.
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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