A survey on fuzzy control for mechatronics applications
Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …
engineering processes. Over the years, research on fuzzy control systems has continuously …
Takagi–Sugeno fuzzy unknown input observers to estimate nonlinear dynamics of autonomous ground vehicles: Theory and real-time verification
In this article, we address the simultaneous estimation problem of the lateral speed, the
steering input, and the effective engine torque, which play a fundamental role in vehicle …
steering input, and the effective engine torque, which play a fundamental role in vehicle …
Vehicle actuator fault detection with finite-frequency specifications via Takagi-Sugeno fuzzy observers: Theory and experiments
This article presents a new nonlinear observer-based method to detect the faults of both
steering and torque actuators of autonomous ground vehicles. To this end, the nonlinear …
steering and torque actuators of autonomous ground vehicles. To this end, the nonlinear …
Guaranteed set-membership estimation for local nonlinear uncertain fuzzy systems subject to partially decouplable unknown inputs
Local nonlinear fuzzy systems are useful for control solutions due to their ability to handle
unmeasurable/inexact premise variables and reduce computational complexity. However …
unmeasurable/inexact premise variables and reduce computational complexity. However …
Observer design for Takagi–Sugeno fuzzy systems with unmeasured premise variables: Conservatism reduction using line integral Lyapunov function
In this paper, a non-quadratic Lyapunov function is employed to reduce conservatism in a
nonlinear observer designed for a class of continuous-time Takagi–Sugeno fuzzy systems …
nonlinear observer designed for a class of continuous-time Takagi–Sugeno fuzzy systems …
Takagi–Sugeno fuzzy observer design for nonlinear descriptor systems with unmeasured premise variables and unknown inputs
This article presents a new observer design framework for a class of nonlinear descriptor
systems with unknown but bounded inputs. In the presence of unmeasured nonlinearities …
systems with unknown but bounded inputs. In the presence of unmeasured nonlinearities …
Fuzzy unknown input observer for estimating sensor and actuator cyber-attacks in intelligent connected vehicles
The detection and mitigation of cyber-attacks in connected vehicle systems (CVSs) are
critical for ensuring the security of intelligent connected vehicles. This paper presents a …
critical for ensuring the security of intelligent connected vehicles. This paper presents a …
Zonotopic observer designs for uncertain Takagi–Sugeno fuzzy systems
This paper addresses the zonotopic observer design for nonlinear systems affected by
uncertainties, ie, state disturbances and measurement noises using Takagi–Sugeno (TS) …
uncertainties, ie, state disturbances and measurement noises using Takagi–Sugeno (TS) …
An H∞ non-fragile fault detection observer design for discrete-time Takagi–Sugeno fuzzy systems using zonotopic method
L Zhang, J Dong - Journal of the Franklin Institute, 2024 - Elsevier
In practical engineering applications, as the system becomes complex, the need to ensure
its safety and reliability increases, and fault detection technology is the key to determining …
its safety and reliability increases, and fault detection technology is the key to determining …
Interval estimation for discrete-time Takagi–Sugeno fuzzy nonlinear systems with parameter uncertainties
Z Wang, L Zhang, T Raïssi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article proposes a two-step interval estimation method for discrete-time Takagi–Sugeno
fuzzy nonlinear systems with parameter uncertainties. First, a novel observer structure …
fuzzy nonlinear systems with parameter uncertainties. First, a novel observer structure …