Results 61 to 70 of about 31,952,489 (241)
Adaptation is Unnecessary in L1-"Adaptive" Control
, 2014 We show in the paper that the, so--called, "new architecture of L_1-Adaptive Control" is, indeed, different from classical model reference adaptive control. Alas, it is not new, since it exactly coincides with a full--state feedback, linear time--invariant proportional plus integral controller (with a decaying additive disturbance).
Ortega, Roméo, Panteley, Elena
openaire +3 more sources
Higher-order interactions and zero-determinant strategies in the public goods game
New Journal of PhysicsSince the ingenious discovery of zero-determinant (ZD) strategies by Press and Dyson, many efforts have been devoted to the evolutionary performance of ZD strategies. Recently, the effects of higher-order interactions on evolutionary games have attracted
Junchi Li
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Curriculum Design and Sim2Real Transfer for Reinforcement Learning in Robotic Dual-Arm Assembly
MachinesRobotic systems are crucial in modern manufacturing. Complex assembly tasks require the collaboration of multiple robots. Their orchestration is challenging due to tight tolerances and precision requirements.
Konstantin Wrede +5 more
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Nonconserved epitopes dominate reverse preexisting T cell immunity in COVID-19 convalescents
Signal Transduction and Targeted TherapyThe herd immunity against SARS-CoV-2 is continuously consolidated across the world during the ongoing pandemic. However, the potential function of the nonconserved epitopes in the reverse preexisting cross-reactivity induced by SARS-CoV-2 to other human ...
Xin Wang +14 more
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, 2012 This paper deals with the problem of controlling flexible link manipulators on the dynamic phase of the trajectory. A flexible beam/arm is an appealing option for civil and military applications, such as space-based robot manipulators.
Attari, Mokhtar, Maouche, A. R.
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Inventions, 2019 A tutorial on robust control, adaptive control, robust adaptive control and adaptive control of robotic manipulators is presented in a systematic manner. Some limitations of the above methods are also illustrated.
Bin Wei
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Integral concurrent learning: Adaptive control with parameter convergence using finite excitation
International Journal of Adaptive Control and Signal Processing, 2018 Concurrent learning (CL) is a recently developed adaptive update scheme that can be used to guarantee parameter convergence without requiring persistent excitation.
Anup Parikh, R. Kamalapurkar, W. Dixon
semanticscholar +1 more source
Modelling and control of adaptive mechanical structures Proceedings
, 1998 Adaptive structures (smart structures) are autonomous structural systems with integrated multifunctional smart materials as actuators and sensors, connected by a control system, to facilitate adaptation to changing environmental conditions (e.g.
Gabbert, U. (comp.) +1 more
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Implementation and Application of Adaptive Control
, 1988 There are many things to consider when implementing an adaptive controller. The paper contains a discussion of some of these issues. When an adaptive controller is going to to work in an industrial environment it is of outmost importance that the ...
Wittenmark, Björn +3 more
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Multi-drug infusion control using model reference adaptive algorithm [PDF]
, 2011 Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single ...
Mahieddine, Fatima +2 more
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