نتایج جستجو برای: unknown control directions

تعداد نتایج: 1590935  

2006
Ivar-André Flakstad Ihle Jérôme Jouffroy Thor Inge Fossen Ivar-André F. Ihle

This paper presents a formation modelling scheme based on a set of inter-body constraint functions and Lagrangian multipliers. Formation control for a fleet of marine craft is achieved by stabilizing the auxiliary constraints such that the desired formation configuration appears. In the proposed framework we develop robust control laws for marine surface vessels to counteract unknown, slowly va...

2017
Michael N. Katehakis Jian Yang Tingting Zhou

We study adaptive policies that handle dynamic inventory and price controls while the random demand for discrete nonperishable items is unknown. Pure inventory control is achieved by targeting newsvendor ordering quantities that correspond to empirical demand distributions learned over time. On the basis of it we conduct the more complex joint inventory-price control, whereupon demand-affecting...

In this paper, we propose a fuzzy-servoing controller method for automatic welding. The proposed method uses a vision based arc tracking to find the initial points of the weld seam and to track them without a prior knowledge. Due to a serious melt down in the weld pool during the welding process, the method requires to control the welding torch in two directions, up-down and left-right directio...

2013
Moawia Alghalith

In this paper, we relax the assumption of a known time horizon in optimal control models.

2011
Xiao-Qi Zhou Timothy C. Ralph Pruet Kalasuwan Mian Zhang Alberto Peruzzo Benjamin P. Lanyon Jeremy L. O'Brien

Although quantum computers promise significant advantages, the complexity of quantum algorithms remains a major technological obstacle. We have developed and demonstrated an architecture-independent technique that simplifies adding control qubits to arbitrary quantum operations-a requirement in many quantum algorithms, simulations and metrology. The technique, which is independent of how the op...

2005
A. Boukabou N. Mansouri

Abstract. In this work, a neural networks is developed for modelling and controlling a chaotic system based on measured input-output data pairs. In the chaos modelling phase, a neural network is trained on the unknown system. Then, a predictive control mechanism has been implemented with the neural networks to reach the close neighborhood of the chosen unstable fixed point embedded in the chaot...

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