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 …

Stability analysis and region-of-attraction estimation using piecewise polynomial Lyapunov functions: Polynomial fuzzy model approach

YJ Chen, M Tanaka, K Tanaka… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper proposes sum-of-squares (SOS) methodologies for stability analysis and region-
of-attraction (ROA) estimation for nonlinear systems represented by polynomial fuzzy …

An SOS-based control Lyapunov function design for polynomial fuzzy control of nonlinear systems

R Furqon, YJ Chen, M Tanaka… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper deals with a sum-of-squares (SOS)-based control Lyapunov function (CLF)
design for polynomial fuzzy control of nonlinear systems. The design starts with exactly …

Polynomial fuzzy model-based control systems

HK Lam - Stability Analysis and Control Synthesis Using …, 2016 - Springer
I have researched on fuzzy model-based control systems since 1995 as a Ph. D. student.
During the past two decades, I have gained a rich experience and knowledge in the field …

Static output-feedback tracking control for positive polynomial fuzzy systems

L Fu, HK Lam, F Liu, B Xiao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Nonlinear positive control system can be found in many real-world applications but the
positivity requirements lead to challenges in system analysis and control design. In this …

Design of a polynomial fuzzy observer controller with sampled-output measurements for nonlinear systems considering unmeasurable premise variables

C Liu, HK Lam - IEEE Transactions on Fuzzy Systems, 2015 - ieeexplore.ieee.org
In this paper, we propose a polynomial fuzzy observer controller for nonlinear systems,
where the design is achieved through the stability analysis of polynomial-fuzzy-model-based …

Unknown input-based observer synthesis for a polynomial T–S fuzzy model system with uncertainties

VP Vu, WJ Wang, HC Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a new approach based on the unknown input method to synthesize the
observer for polynomial Takagi–Sugeno fuzzy system with uncertainties. In this paper, the …

Stability analysis of a class of MIMO recurrent type-2 fuzzy systems

J Tavoosi, AA Suratgar, MB Menhaj - International Journal of Fuzzy …, 2017 - Springer
This paper presents a sufficient condition for stability of a class of multiple input multiple
output recurrent type-2 TSK fuzzy systems using spectrum analysis. In this class of type-2 …

On stabilization conditions for T–S systems with nonlinear consequent parts

H Moodi, M Farrokhi, TM Guerra, J Lauber - International Journal of Fuzzy …, 2019 - Springer
This paper deals with T–S fuzzy model with nonlinear consequent parts that has shown to
reduce the number of fuzzy rules and decrease modeling error comparing with conventional …

Control of time delay polynomial fuzzy model subject to actuator saturation

H Gassara, A El Hajjaji, M Chaabane - International Journal of Fuzzy …, 2016 - Springer
This article is concerned with the design of polynomial fuzzy controller for a class of
polynomial fuzzy model subject to both state delay and actuator saturation. Based on …