This paper proposes a novel adaptive control law for nonlinear systems using Takagi-Sugeno fuzzy system. Takagi-Sugeno fuzzy system is used to identify nonlinear system components theta alpha and theta beta. Stable Indirect Adaptive control law is such that it has two control components one is certainty equivalence control and other is sliding mode control. Sliding mode controller is used to en...

mecium has an intrinsic length of clonal life span which corresponds to organismal life span in multicellular organisms (Sonneborn, 1954). For the final purpose of identifying the jumyo gene, the causal determinant of the clonal life span of Paramecium tetraurelia (Takagi et al., 1989), we examined differences in gene expression between wildtype stock 51 and its mutant d4-SL4 which has an extre...

In this chapter, modeling and simulation of a Takagi–Sugeno based fuzzy logic control strategy in order to control one of the most important parameters of the IM, viz., speed, is presented. In the control of IMs, FLCs play a very important role. In this context, a novel FLC is developed based on the Takagi–Sugeno principles. This method gives very good response compared to other methods such as...

In this paper, we design fuzzy sliding mode controller by real-value genetic algorithms. In the process of designing the proposed controller, we firstly employ the sliding mode control technique to design the fuzzy rules, so that the fuzzy controller has the characteristics of stability and robustness. Next, we adopt the Takagi-Sugeno’s fuzzy mode to construct the fuzzy control rules and to obt...

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...

The paper presents the possibility of the design of frontal neural networks and feed-forward neural networks (without pre-processing of inputs time series) with learning algorithms on the basis genetic and eugenic algorithms and Takagi-Sugeno fuzzy inference system (with pre-processing of inputs time series) in predicting of gross domestic product development by designing a prediction models wh...

The paper investigates a predictive control algorithm to regulate the output petroleum temperature of the tubular heat exchanger. In the controller design, a Takagi–Sugeno fuzzy model is applied in combination with the model predictive control algorithm. The process model in form of the Takagi–Sugeno fuzzy model is obtained via subtractive clustering from the plant's data set. The neural networ...

The adaptive neural fuzzy inference system is used to simulate trajectory tracking in aircraft landing operationsmanagement. The advantage of the approach is that by using the linguistic representation ability of fuzzy sets and the learning ability of neural networks, the approximate linguistic representations can be improved or updated as more data become available. This approach is illustrate...

Let S(n) denote the total number of digits ‘1’ in the binary expansions of the integers between 1 and n − 1. The Trollope-Delange formula is a classical result which provides an explicit representation for S(n) in terms of the continuous, nowhere differentiable Takagi function. Recently, connections have been established between digital sums such as S(n) and certain functional equations associa...

Chiaki Takagi examines modern Japan’s cultural formation from a new theoretical perspective by applying postcolonial theories to modern Japan. The author’s goal is to rethink Japan’s modernity, including its long-lasting ―sengo‖ 戦後 (postwar) period, by examining the works of Murakami Haruki 村上春樹. His works suggest that postwar Japanese society has been informed by a peculiar version of coloniza...