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A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent …
HK Lam - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
This paper reviews the stability analysis of continuous-time fuzzy-model-based (FMB)
control systems, with emphasis on state-feedback control techniques, which is an essential …
control systems, with emphasis on state-feedback control techniques, which is an essential …
Fault detection filtering for nonhomogeneous Markovian jump systems via a fuzzy approach
This paper investigates the problem of the fault detection filter design for nonhomogeneous
Markovian jump systems by a Takagi-Sugeno fuzzy approach. Attention is focused on the …
Markovian jump systems by a Takagi-Sugeno fuzzy approach. Attention is focused on the …
Reliable filtering with strict dissipativity for TS fuzzy time-delay systems
In this paper, the problem of reliable filter design with strict dissipativity has been
investigated for a class of discrete-time TS fuzzy time-delay systems. Our attention is focused …
investigated for a class of discrete-time TS fuzzy time-delay systems. Our attention is focused …
Approaches to T–S fuzzy-affine-model-based reliable output feedback control for nonlinear Itô stochastic systems
This paper deals with the problem of reliable and robust H∞ static output feedback (SOF)
controller synthesis for continuous-time nonlinear stochastic systems with actuator faults …
controller synthesis for continuous-time nonlinear stochastic systems with actuator faults …
Adaptive backstep**-based neural tracking control for MIMO nonlinear switched systems subject to input delays
B Niu, L Li - IEEE Transactions on Neural Networks and …, 2017 - ieeexplore.ieee.org
This brief proposes a new neural-network (NN)-based adaptive output tracking control
scheme for a class of disturbed multiple-input multiple-output uncertain nonlinear switched …
scheme for a class of disturbed multiple-input multiple-output uncertain nonlinear switched …
Polynomial fuzzy-model-based control systems: Stability analysis via approximated membership functions considering sector nonlinearity of control input
This paper presents the stability analysis of polynomial fuzzy-model-based (PFMB) control
systems, in which both the polynomial fuzzy model and the polynomial fuzzy controller are …
systems, in which both the polynomial fuzzy model and the polynomial fuzzy controller are …
Type-2 fuzzy hybrid controller network for robotic systems
Dynamic control, including robotic control, faces both the theoretical challenge of obtaining
accurate system models and the practical difficulty of defining uncertain system bounds. To …
accurate system models and the practical difficulty of defining uncertain system bounds. To …
Extended-dissipativity-based adaptive event-triggered control for stochastic polynomial fuzzy singular systems
This article deals with the extended-dissipativity-based adaptive event-triggered (AET)
control problem for stochastic polynomial fuzzy singular systems (SPFSSs). The purpose of …
control problem for stochastic polynomial fuzzy singular systems (SPFSSs). The purpose of …
Maximum power point tracking control of photovoltaic systems: A polynomial fuzzy model-based approach
M Rakhshan, N Vafamand… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
This paper introduces a polynomial fuzzy model (PFM)-based maximum power point
tracking (MPPT) control approach to increase the performance and efficiency of the solar …
tracking (MPPT) control approach to increase the performance and efficiency of the solar …
Asynchronous Filtering for Fuzzy Sampled-Data Systems Subject to Censored Measurements and Non-Uniform Sampling
This article focuses on addressing the asynchronous filtering problem in TS fuzzy sampled-
data systems under the presence of censored measurements and non-uniform sampling. In …
data systems under the presence of censored measurements and non-uniform sampling. In …