Results 261 to 270 of about 662,614 (319)
A Multilayer Decision-Making Method for UAV Formation Cooperative Flight in Complex Urban Environments. [PDF]
Wang J, Yan D, Hao Y, Miao H.
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Algorithmic control of walking
Proceedings, 1989 International Conference on Robotics and Automation, 2003The authors suggest that there are two components required in most control schemes: an algorithmic component which takes a high-level goal and generates joint trajectories, and a dynamics component which takes these joint trajectories and generates the required joint torques.
A. James Stewart, James F. Cremer
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Benchmarking Force Control Algorithms
Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference, 2021Force control is nowadays a mature technology and it is becoming more and more common in robotic applications. A specific and significant example are robotic devices for rehabilitation. Despite this, an effective standardized and comprehensive method to assess force control performance does not exist.
Rudy Vicario +7 more
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Operations Research, 1964
A linear control algorithm is proposed for the computer operation of a signalized traffic intersection. A theoretical analysis of the algorithm under the assumption of constant vehicular arrival and departure rates shows that the control is stable under unsaturated conditions, and with proper choice of control constants usually gives a rapid ...
Dunne, M. C., Potts, R. B.
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A linear control algorithm is proposed for the computer operation of a signalized traffic intersection. A theoretical analysis of the algorithm under the assumption of constant vehicular arrival and departure rates shows that the control is stable under unsaturated conditions, and with proper choice of control constants usually gives a rapid ...
Dunne, M. C., Potts, R. B.
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Dynamic control of a bicgstab algorithm
Applied Numerical Mathematics, 2000The aim of this paper is to present a dynamic strategy which allows to detect breakdowns and near-breakdowns and to choose between a look ahead technique and a restart in the BICGSTAB algorithm for solving non-Hermitian sparse linear systems. First, it is recalled how the algorithm can be introduced by means of the formal orthogonal polynomial theory ...
Montagnac, Marc, Chesneaux, Jean-Marie
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On the weight controllability of consensus algorithms
2013 European Control Conference (ECC), 2013In this paper we consider controllability of leader-follower networks running a consensus algorithm. We allow the communication links between the agents to be weighted and give the necessary and sufficient conditions for a the system to be controllable generically, i.e. for almost all choices of weights.
Goldin, D., Raisch, J.
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Algorithms for inference control
Microprocessing and Microprogramming, 1991Abstract In this paper a method to deal with the inference problem is presentted. The database is represented with a directed bipartite graph. At each clearance level, different portions of the graph are accessible. Then, inference is defined as the existence of a ‘virtual’ cycle of information flow, at any classification level. The method we present
Achilles Kameas +2 more
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Supervision of Adaptive Control Algorithms
IFAC Proceedings Volumes, 1997It is often argued that a difference between rule-based adaptive controllers and model-based adaptive controllers is that the rule-based controllers perform the adaptation after major disturbances, whereas model-based controllers perform a continuous adaptation. The authors show that this is not true.
Tore Hägglund, Karl Johan Åström
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Randomized algorithms in robust control
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004The probabilistic approach to analysis and design of robust control systems is an emerging philosophy that gained increasing interest in the past. Opposed to the so-far dominating paradigm of deterministic worst-case robustness, the probabilistic approach presents itself as a natural tool to deal with the random character of uncertainties affecting ...
G Calafiore, F Dabbene, R Tempo
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