2018
DOI: 10.1007/978-3-319-77851-8
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Robotic Manipulators and Vehicles

Abstract: The series "Studies in Systems, Decision and Control" (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control-quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to systems, decision making, control, complex processes and related areas, as embedded in the fields of engineering, computer scien… Show more

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Cited by 79 publications
(118 citation statements)
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“…Parallel robots of closed-kinematic chain are frequently used in industrial and humans assisting tasks (Rigatos and Busawon, 2018; Chang et al, 2011; Ouyang et al, 2004). Such robotic mechanisms are met in applications where high stiffness, high lift force, and high velocity/acceleration of the end-effector and joints have to be developed (Ghorbel et al, 2000; Muller and Hufnagel, 2012; Shang and Cong, 2020; Shang et al, 2011; Shang and Cong, 2014).…”
Section: Introductionmentioning
confidence: 99%
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“…Parallel robots of closed-kinematic chain are frequently used in industrial and humans assisting tasks (Rigatos and Busawon, 2018; Chang et al, 2011; Ouyang et al, 2004). Such robotic mechanisms are met in applications where high stiffness, high lift force, and high velocity/acceleration of the end-effector and joints have to be developed (Ghorbel et al, 2000; Muller and Hufnagel, 2012; Shang and Cong, 2020; Shang et al, 2011; Shang and Cong, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…This controller achieves the solution of the nonlinear optimal control problem for the robotic manipulator under model uncertainty and external perturbations. Actually, this controller represents a min-max differential game taking place between (i) the control inputs which try to minimize a cost function that contains a quadratic term of the state vector’s tracking error and (ii) the disturbance and model uncertainty inputs which try to maximize this cost function (Rigatos and Busawon, 2018). To select the feedback gains of the H-infinity controller, an algebraic Riccati equation is repetitively solved at each time-step of the control algorithm (Rigatos, 2011; Rigatos, 2015).…”
Section: Introductionmentioning
confidence: 99%
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