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Fuzzy adaptive nonlinear MIMO control for rigid coupled multibody robots using reinforcement learning model. [PDF]
Sci RepDuan C, Wang L, Li S.
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Design of a distributed power system using solar PV and micro turbine-based wind energy system with a flywheel energy storage. [PDF]
Sci RepBhavani T +6 more
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Active Suspension Control for Improved Ride Comfort and Vehicle Performance Using HHO-Based Type-I and Type-II Fuzzy Logic. [PDF]
Biomimetics (Basel)Abut T, Salkim E, Tugal H.
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Energy-efficient scheduling of AGV-assisted robotic flexible flowshops under learning and processing time uncertainty. [PDF]
Sci RepDehnavi S, Mokhtari H, Rezvan MT.
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A quantum-inspired neural fuzzy sliding mode control framework for fractional-order modeling of intraocular pressure regulation and optic nerve damage in glaucoma. [PDF]
Sci RepAmilo D.
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Fuzzy Sets and Systems, 1987
A differential and integral calculus for fuzzy-set-valued mappings was developed in recent papers of Dubois and Prade, and Puri and Ralescu. The purpose of this paper is to study differential equations for fuzzy-set- valued mappings of a real variable whose values are normal, convex, upper semi-continuous and compactly supported fuzzy sets in \(R^ n\).
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A differential and integral calculus for fuzzy-set-valued mappings was developed in recent papers of Dubois and Prade, and Puri and Ralescu. The purpose of this paper is to study differential equations for fuzzy-set- valued mappings of a real variable whose values are normal, convex, upper semi-continuous and compactly supported fuzzy sets in \(R^ n\).
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Fuzzy Sets and Systems, 2000
The authors consider the following fuzzy initial value problem \[ {du(t)\over dt}= f(t,u(t)),\quad t\in [0,\infty),\quad u(0)= u_0\in E^n,\tag{1} \] where \({du\over dt}\) denotes the Hukuhara derivative of function \(u,f:[0, \infty)\times E^n\to E^n\) is continuous, and the set \[ E^n:= \{u\in\mathbb{R}^n\to [0,1]\mid u\text{ satisfies (i)}\sim \text{(
Park, Jong Yeoul, Han, Hyo Keun
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The authors consider the following fuzzy initial value problem \[ {du(t)\over dt}= f(t,u(t)),\quad t\in [0,\infty),\quad u(0)= u_0\in E^n,\tag{1} \] where \({du\over dt}\) denotes the Hukuhara derivative of function \(u,f:[0, \infty)\times E^n\to E^n\) is continuous, and the set \[ E^n:= \{u\in\mathbb{R}^n\to [0,1]\mid u\text{ satisfies (i)}\sim \text{(
Park, Jong Yeoul, Han, Hyo Keun
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2015
Fuzzy differential equations (FDEs) appear as a natural way to model the propagation of epistemic uncertainty in a dynamical environment. There are several interpretations of a fuzzy differential equation. The first one historically was based on the Hukuhara derivative introduced in Puri-Ralescu [123] and studied in several papers (Wu-Song-Lee [150 ...
Luciana Takata Gomes +2 more
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Fuzzy differential equations (FDEs) appear as a natural way to model the propagation of epistemic uncertainty in a dynamical environment. There are several interpretations of a fuzzy differential equation. The first one historically was based on the Hukuhara derivative introduced in Puri-Ralescu [123] and studied in several papers (Wu-Song-Lee [150 ...
Luciana Takata Gomes +2 more
openaire +1 more source