Childhood autism is one of the most common developmental disorders in children, whose disabilities generally tend to follow through adulthood. The therapy given to an autistic child depends on its accurate assessment, which is a challenging clinical decision making problem. This paper describes the application of functional fuzzy model in autism assessment support systems. The fuzzy model uses ...

Abstract: This paper deals with the design problem of reliable H� fuzzy switching controllers for continuoustime nonlinear systems with different actuator fault mode. First, the Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear system. Next, based on the fuzzy model, a faulty switched system is constructed to model various classes of faulty nonlinear systems. The objective is...

A robust observer design is proposed for Takagi-Sugeno fuzzy neutral models with unknown inputs. The model consists of a mixed neutral and discrete delay, and the disturbances are imposed on both state and output signals. Delay-dependent sufficient conditions for the design of an unknown input T-S observer with time delays are given in terms of linear matrix inequalities. Some relaxations are i...

This paper focuses on the problem of robust control for Takagi–Sugeno (T–S) fuzzy systemswith time-delay. The delay-dependent stability analysis and controller synthesis have been addressed. The free weighting matrix method has been used for stability analysis and controller synthesis. New and less conservative delay-dependent stability conditions are proposed in terms of linear matrix inequali...

Abstract. This paper presents the synthesis and analysis of the enhanced predictive fuzzy Hammerstein model of the water tank system. Fuzzy Hammerstein model was compared with three other fuzzy models: the first was synthesized using Mamdani type rule base, the second – Takagi-Sugeno type rule base and the third – composed of Mamdani and Takagi-Sugeno rule bases. The synthesized model is invert...

This paper investigates the observer-based non-fragile output feedback tracking control problem for nonlinear networked systems with randomly occurring gain variations. The considered are represented by a Takagi–Sugeno (T–S) fuzzy model. dynamical quantization methodology is employed to achieve reasonable and efficacious utilization of limited communication resources. objective design controlle...

This paper investigates a fuzzy reduced-order filter design for class of nonlinear partial differential equation (PDE) systems. First, Takagi-Sugeno (T-S) model is considered to reconstruct the PDE system. Then, employment an event-triggered mechanism (ETM) can effectively avoid signal redundancy and improve network resource utilization. Furthermore, based on advantages ETM, several Lyapunov fu...

In this paper, optimal control for stochastic linear singular Takagi–Sugeno (T–S) fuzzy delay system with quadratic performance is obtained using genetic programming (GP). To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is computed by solving differential algebraic equation (DAE) using a novel and nontraditional GP approach. The GP solution is equivale...

In this paper, we talk about the application of fuzzy control techniques to the nonlinear systems. We propose a new scheme of fuzzy optimal control techniques in which T-S (Takagi-Sugeno) fuzzy model is used for the modeling. We adopt the PDC (parallel distributed control) as our controller which is also modeled by fuzzy rules. Both the discrete system case and the continuous system case are di...