Michio Sugeno’s research while affiliated with Tokyo Institute of Technology and other places

... This is the author's version which has not been fully edited and content may change prior to final publication. fuzzy rules are used in fuzzy system applications, such as the Mamdani-type [41], Takagi-Sugeno [42], and Piecewise Multiaffine [43] fuzzy rules. The fuzzy inference machine, which simulates the decisionmaking procedure of human beings based on fuzzy concepts, is a decision-making logic that employs fuzzy rules to determine the output of a fuzzy system. ...

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Influencing Factor-Decoupled Battery Ageing Assessment for Real-world Electric Vehicles based on Fusion of Fuzzy Logic and Neural Network

... However, for the PEM-based algorithm, fuzzy measures of criteria representing their relative significance are determined by teachers or educators and can be directly applied to derive the evaluation results. Moreover, compared with the classic fuzzy measurement, fuzzy measures take the importance of the combination of decision a ributes into account rather than only considering the importance of the a ributes themselves [22]. For example, teachers may consider that the criteria of online engagement and sustained learning in student performance assessment are both important, while the combined importance of the two could be greater or less than their sum. ...

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A Multi-Project Evaluation of Engineering Students’ Performance for Online PBL: Taking the Sustainable Decision Analysis Course as an Example

... To help the reader understand the paper, several important details about this new derivative have been provided along with a variety of examples; for further information, refer to [10]. The Sugeno derivative theory has garnered significant attention and publications; for some of them, see [1,3,[6][7][8]11,12] and the references cited therein. Particularly, Sugeno focused on statistics with distorted probabilities in 2018 [11], utilizing the Sugeno derivative [10] and the Choquet integral. ...

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A note on Sugeno exponential function with respect to distortion

... Fig. 4 presents the structure of the proposed FLC design done in MATLAB/Simulink ® . The Mamdani Type 1 block refers to the rule based defuzzification system as presented in Nguyen et al. [18]. The selected rules are shown in Fig. 5. ...

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INTEGRATION OF WATER DESALINATION SYSTEMS ON ELECTRICAL MICROGRIDS FOR REMOTE COASTAL COMMUNITIES

... Moreover, since linguistic labels may be assigned to singletons of singleton-type fuzzy systems, they can be called Mamdani-like fuzzy systems [14]. These fuzzy systems have been also called piecewise multiaffine systems due to their input-output multiaffine relation with respect to an affine-in-control system [15]. Mamdani-like fuzzy modeling has been found advantageous to study nonlinear systems for many reasons [3]. ...

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Convex Stability Analysis of Mamdani-Like Fuzzy Systems With Singleton Consequents

... Besides, with such tuned PID they cannot handle real-world uncertainties like wind gust, i.e., their PID controller is not robust against uncertainties. Some other commonly used methods for controlling quadcopter are Lyapunov theory based methods (Zuo 2013), Linear Quadratic (LQ) techniques (Bader et al. 2014;Bouabdallah et al. 2004b;Rinaldi et al. 2013), Sliding Mode Control (SMC) methods (Bouabdallah and Siegwart 2005;Lee et al. 2009;Waslander et al. 2005;Xiong and Zhang 2016;Xu and Ozguner 2006), back-stepping techniques (Bouabdallah and Siegwart 2005;Madani and Benallegue 2006), Feedback Linearization (FBL) techniques (Lee et al. 2009;Taniguchi et al. 2014), H∞ robust control techniques (Chen and Huzmezan 2003;Walker and Postlethwaite 1996) etc. Bouabdallah et al. (2004b) have developed a Linear Quadratic Regulator (LQR) based algorithm for controlling the quadcopter. The efficiency of their controller is compared with PID controller. ...

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Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review

... The concept of capacity and Choquet integral as important tools in non-additive measure theory [4] were initiated by [2], which later became widely used in many fields such as statistics and financial economics [5,8,9], multicriteria decision making [6,11,13], economic modeling [7], risk measuring [7,8] and fuzzy measure theory [15,16]. Recently, the study of numerical Choquet integration on the real line has been studied using the statistics software R by [17,19]. They also proposed several algorithms for some functions with some examples for Hellinger distance between two monotone measures. ...

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Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule

... The concept of capacity and Choquet integral as important tools in non-additive measure theory [4] were initiated by [2], which later became widely used in many fields such as statistics and financial economics [5,8,9], multicriteria decision making [6,11,13], economic modeling [7], risk measuring [7,8] and fuzzy measure theory [15,16]. Recently, the study of numerical Choquet integration on the real line has been studied using the statistics software R by [17,19]. ...

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Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule

... Based on (12), it can be derived that ...

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Discrete-Time General Nonlinear Robust Control: Stabilization With Closed-Loop Robust DOA Enlargement Based on Interval Analysis

... Another possible issue is the feasibility of inversion; an uninvertible singular matrix can block the application of the Feedback linearization though some methods, e.g., PCH ( [8]), dynamic approximation ( [9]), etc. are invented. One typical way to pick the controlled variables is the yaw ( ) and the position ( ) combination. ...

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Singular Zone in Quadrotor Yaw-Position Feedback Linearization