Results 21 to 30 of about 1,948 (210)
International Journal of Computational Intelligence Systems, 2021 This paper introduces an enhanced fuzzy sliding mode control (EFSMC) algorithm used for controlling the uncertain pneumatic artificial muscle (PAM) robot arm containing external disturbances.
Ho Pham Huy Anh, Cao Van Kien
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Switch controllers of an n-link revolute manipulator with a prismatic end-effector for landmark navigation [PDF]
PeerJ Computer Science, 2022 Robotic arms play an indispensable role in multiple sectors such as manufacturing, transportation and healthcare to improve human livelihoods and make possible their endeavors and innovations, which further enhance the quality of our lives.
Ravinesh Chand +2 more
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Revista Iberoamericana de Automática e Informática Industrial RIAI, 2017 In this paper was presented the design of a Mamdani type fuzzy controller to solve the stabilization problem for an inertial wheel pendulum. The fuzzy rule base are designed following the fuzzy Lyapunov synthesis, which guarantee the local asymptotic ...
Nohe R. Cazarez-Castro +4 more
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Mathematics, 2020 Due to a good ability of learning for nonlinear uncertainties, a mixed modified recurring Rogers-Szego polynomials neural network (MMRRSPNN) control with mended grey wolf optimization (MGWO) by using two linear adjusted factors is proposed to the six ...
Der-Fa Chen +4 more
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Comparative study of adaptive controller using MIT rules and Lyapunov method for MPPT standalone PV systems [PDF]
AIP Conference Proceedings, 2017 The Photovoltaic Generator have a nonlinear characteristic function relating the intensity at the voltage I = f (U) and depend on the variation of solar irradiation and temperature, In addition, its point of operation depends directly on the load that it supplies.
N. Tariba +5 more
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Turkish Journal of Engineering, 2021 Various system parameter variations occur during operations in several existing process industries. These parameter variations result in process shifts, thus, requiring adequate control strategies to compensate for these alterations, which consequently maintain desired system response.
Demilade DINAKIN, Peter OLUSEYİ
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On Controllability and Observability of Fuzzy Dynamical Matrix Lyapunov Systems
Advances in Fuzzy Systems, 2008 We provide a way to combine matrix Lyapunov systems with fuzzy rules to form a new fuzzy system called fuzzy dynamical matrix Lyapunov system, which can be regarded as a new approach to intelligent control. First, we study the controllability property of
M. S. N. Murty, G. Suresh Kumar
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Toward Embedded System Resources Relaxation Based on the Event-Triggered Feedback Control Approach
Mathematics, 2022 The paper describes an event-triggered nonlinear feedback controller design. Event triggering is a real-time controller implementation technique which reduces embedded system utilization and relaxes task scheduling of the real-time system. In contrast to
Andrej Sarjaš, Dušan Gleich
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An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
Chaotic properties of planar elongational flow and planar shear flow: Lyapunov exponents, conjugate-pairing rule, and phase space contraction [PDF]
Physical Review E, 2006 The simulation of planar elongational flow in a nonequilibrium steady state for arbitrarily long times has recently been made possible, combining the SLLOD algorithm with periodic boundary conditions for the simulation box. We address the fundamental questions regarding the chaotic behavior of this type of flow, comparing its chaotic properties with ...
Frascoli, Federico +2 more
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