The primary objective of this research work is to investigate model-free path planning for reconfigurable robots using value and policy iterations. The focus is on developing and evaluating an autonomous algorithm for...
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dynamical boundary control of a vibrating membrane with edge mass and of general shape is mathematically formulated as an abstract evolutionary system. The approximate controllability and the strong stabilization by l...
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dynamical boundary control of a vibrating membrane with edge mass and of general shape is mathematically formulated as an abstract evolutionary system. The approximate controllability and the strong stabilization by linear boundary damping feedback are established by an approach based on LaSalle's invariance principle. The mathematical model and the reduced system can be used to investigate some optimization problems.< >
A system consisting of an antenna array and an adaptive processor can perform filtering in both the space and the frequency domains, thus reducing the sensitivity of the signal-receiving system to interfering directio...
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A system consisting of an antenna array and an adaptive processor can perform filtering in both the space and the frequency domains, thus reducing the sensitivity of the signal-receiving system to interfering directional noise sources. Variable weights of a signal processor can be automatically adjusted by a simple adaptive technique based on the least-mean-squares (LMS) algorithm. During the adaptive process an injected pilot signal simulates a received signal from a desired "look" direction. This allows the array to be "trained" so that its directivity pattern has a main lobe in the previously specified look direction. At the same time, the array processing system can reject any incident noises, whose directions of propagation are different from the desired look direction, by forming appropriate nulls in the antenna directivity pattern. The array adapts itself to form a main lobe, with its direction and bandwidth determined by the pilot signal, and to reject signals or noises occurring outside the main lobe as well as possible in the minimum mean-square error sense. Several examples illustrate the convergence of the LMS adaptation procedure toward the corresponding Wiener optimum solutions. Rates of adaptation and misadjustments of the solutions are predicted theoretically and checked experimentally. Substantial reductions in noise reception are demonstrated in computer-simulated experiments. The techniques described are applicable to signal-receiving arrays for use over a wide range of frequencies.
An explicit solution is developed of the matrix equation A(z)X(z) + X(z)B(z) = C(z) where z is a parameter. The approach considered is general in that no particular representations are assumed and the solution X(z) is...
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An explicit solution is developed of the matrix equation A(z)X(z) + X(z)B(z) = C(z) where z is a parameter. The approach considered is general in that no particular representations are assumed and the solution X(z) is expressed as a simple function of the matrices involved. As an application, the stability of a class of generalized linear systems is discussed, namely systems which depend polynomially on a real parameter and time-delay systems.
作者:
Ganesh, SandhuValluru, Sudarshan K.
Control of Dynamical Systems and Computation Laboratory Department of Electrical Engineering Delhi110042 India
This paper examines the Boost converter's chaotic behavior. A voltage mode controlled technique is being utilized to analyze the discrete-time mapping to determine the properties of the bifurcation that operate in...
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The optimal power flow (OPF) problem is nonconvex and generally hard to solve. We provide a sufficient condition under which the OPF problem is equivalent to a convex problem and therefore is efficiently solvable. Spe...
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This paper is concerned with understanding the connection between the existing Internet congestion control algorithms and the optimal control theory. The available resource allocation controllers are mainly devised to...
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This article reviews the current transmission control protocol (TCP) congestion control protocols and overviews recent advances that have brought analytical tools to this problem. We describe an optimization-based fra...
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This article reviews the current transmission control protocol (TCP) congestion control protocols and overviews recent advances that have brought analytical tools to this problem. We describe an optimization-based framework that provides an interpretation of various flow control mechanisms, in particular, the utility being optimized by the protocol's equilibrium structure. We also look at the dynamics of TCP and employ linear models to exhibit stability limitations in the predominant TCP versions, despite certain built-in compensations for delay. Finally, we present a new protocol that overcomes these limitations and provides stability in a way that is scalable to arbitrary networks, link capacities, and delays.
This paper analyses the bifurcation behaviour of the CUK converter operating under continuous conduction mode. Discrete-time mapping is used to analyse the bifurcation parameters operating under a closed loop with a c...
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This paper presents the application of linear-quadratic methods of optimal control for a class of reference tracking problem. Specifically, linear quadratic regulator and linear-quadratic Gaussian methods are outlined...
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