An intelligent robot needs to be able to understand human emotions, and to understand and generate actions through cognitive systems that operate in a similar way to human cognition. In this chapter, we mainly focus on developing an online incremental learning system of emotions using Takagi-Sugeno (TS) fuzzy model. Additionally, we present a general overview for understanding and generating mu...

This article presents a Takagi–Sugeno–Kang Fuzzy Neural Network (TSKFNN) approach to predict freeway corridor travel time with an online computing algorithm. TSKFNN, a combination of a Takagi–Sugeno– Kang (TSK) type fuzzy logic system and a neural network, produces strong prediction performance because of its high accuracy and quick convergence. Real world data collected from US-290 in Houston,...

A technique for the modeling of nonlinear control processes using fuzzy modeling approach based on the Takagi–Sugeno fuzzy model with a combination of genetic algorithm and recursive least square is proposed. This paper discusses the identification of the parameters at the antecedent and consequent parts of the fuzzy model. For the antecedent fuzzy parameters, genetic algorithm is used to tune ...

The main goal of this work is to formalize the use of fuzzy systems represented by Takagi Sugeno form so that the use of membership functions is well understood when designing the rules It also aimed to apply these ideas later when designing fuzzy controllers where dynamic models are used First static mod els are introduced Second some useful de nitions are presented Third the main prop erties ...

The “fuzzy dot” (or fuzzy relation) representation of fuzzy rules in fuzzy rule based systems, in case of classical fuzzy reasoning methods (e.g. the Zadeh-MamdaniLarsen Compositional Rule of Inference (CRI) (Zadeh, 1973) (Mamdani, 1975) (Larsen, 1980) or the Takagi Sugeno fuzzy inference (Sugeno, 1985) (Takagi & Sugeno, 1985)), are assuming the completeness of the fuzzy rule base. If there are...

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...

This paper investigates the identification and modeling of a greenhouse's climate using real data from greenhouse installed in LAPER laboratory Tunisia. The objective this is to propose solution problem nonlinear time-variant inputs outputs internal climate. Combining fuzzy logic technique with Least Mean Squares (LMS), robust model for temperature prediction proposed. simulation results demons...

Nebulizer is one of the electro medic devices that serve to provide therapy for patients who experience abnormalities or disorders respiratory tract. system works using piezo electronic device produces high frequency vibration. With this vibration drug liquid molecules breaks down become fumes, thus it can easily inhale patient even children. Unfortunately like other aerosol delivery system, op...