The Experts below are selected from a list of 80442 Experts worldwide ranked by ideXlab platform
Jonathan H. Manton - One of the best experts on this subject based on the ideXlab platform.
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design and analysis of linear precoders under a mean square error criterion part ii mmse designs and conclusions
Systems & Control Letters, 2003Co-Authors: Jonathan H. MantonAbstract:Part I of this two-part paper formulated the precoder design Problem as an Optimisation Problem and solved it with respect to a worst case criterion. Part II studies a similar Optimisation Problem but with respect to a criterion measuring average performance. A stochastic Optimisation algorithm is proposed for solving this Problem. For special cases, closed form solutions are also given. These results indicate linear precoders reduce the effects of frequency distortion caused by multipath channels but are powerless to counteract additive white Gaussian noise. The conclusion is linear precoders should introduce only a small amount of redundancy and be used in conjunction with an error correcting code capable of combatting additive noise.
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modified steepest descent and newton algorithms for orthogonally constrained Optimisation part ii the complex grassmann manifold
Information Sciences Signal Processing and their Applications, 2001Co-Authors: Jonathan H. MantonAbstract:The classical steepest descent and Newton algorithms can be used to minimise a cost function f(X). This paper shows how they can be modified to take into account the constraint that the columns of the complex-valued matrix X are mutually orthogonal and have unit norm. It is assumed that the cost function satisfies f(XQ) = f(X) for any unitary matrix Q. This allows the constrained Optimisation Problem to be converted into an unconstrained one on the Grassmann manifold. This significantly reduces the dimension of the Optimisation Problem and often results in faster convergence.
Monjur Mourshed - One of the best experts on this subject based on the ideXlab platform.
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a multi objective window Optimisation Problem
Genetic and Evolutionary Computation Conference, 2011Co-Authors: Alexander E I Brownlee, Jonathan A Wright, Monjur MourshedAbstract:We present an Optimisation Problem which seeks to locate the Pareto-optimal front of building window and shading designs minimising two objectives: projected energy use of the operational building and its construction cost. This Problem is of particular interest because it has many variable interactions and each function evaluation is relatively time-consuming. It also makes use of a freely-available building simulation program EnergyPlus which may be used in many other building design Optimisation Problems. We describe the Problem and report the results of experiments comparing the performance of a number of existing multi-objective evolutionary algorithms applied to it. We conclude that this represents a promising real-world application area.
Kenneth Sorensen - One of the best experts on this subject based on the ideXlab platform.
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Optimisation of gravity fed water distribution network design a critical review
European Journal of Operational Research, 2013Co-Authors: Annelies De Corte, Kenneth SorensenAbstract:This paper surveys the literature on the Optimisation of water distribution network design. The water distribution network design (WDND) Optimisation Problem entails finding the material and diameter of each pipe in the network so that the total cost of the network is minimised without violating any hydraulic constraints. This is a difficult combinatorial Optimisation Problem, in which decision variables are discrete and both cost function and constraints are non-linear. Over the past 30years, a large number of methods, especially in the field of (meta) heuristics, have been developed to solve this Problem, most of which obtain good results on the available benchmark networks. In addition to outlining the basic features of each method, a detailed computational comparison is presented. Based on this comparison, some issues with the current state of the art in this domain are discussed, and some future research directions are suggested. Additionally, the need for an adequate set of benchmark instances is motivated, and the minimal requirements for an instance set generator are discussed.
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Optimisation of water distribution network design a critical review
2012Co-Authors: Annelies De Corte, Kenneth SorensenAbstract:This paper surveys the literature on the Optimisation of water distribution network design. The water distribution network design (WDND) Optimisation Problem entails finding the type and diameter of each pipe in the network so that the total cost of the network is minimised without violating any hydraulic constraints. This is a difficult combinatorial Optimisation Problem, in which decision variables are discrete and both cost function and constraints are non-linear. Over the past 30 years, a large number of methods, especially in the field of (meta)heuristics, have been developed to solve this Problem, most of which obtain good results on the available benchmark networks. In addition to outlining the basic features of each method, a detailed computational comparison is presented. The need for an adequate set of benchmark instances and the desirable properties of an instance set generator, are discussed. The paper concludes by pointing out some issues with the current state of the art in this domain and presents some suggestions for future research in this domain.
Gang Chen - One of the best experts on this subject based on the ideXlab platform.
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event triggered scheme for zero gradient sum Optimisation under directed networks with time delay
International Journal of Systems Science, 2021Co-Authors: Zhongyuan Zhao, Gang ChenAbstract:The paper investigates the distributed convex Optimisation Problem of multi-agent systems over strongly connected and balanced digraph with time delay. To reduce the traffic among agents and the co...
Georgi M Dimirovski - One of the best experts on this subject based on the ideXlab platform.
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l 2 gain analysis and control synthesis of uncertain switched linear systems subject to actuator saturation
International Journal of Systems Science, 2012Co-Authors: Xinquan Zhang, Jun Zhao, Georgi M DimirovskiAbstract:This article addresses the L 2-gain analysis and control synthesis Problem for a class of uncertain switched linear systems with saturating actuators and external disturbances. First, when the controllers are pre-given, an analysis condition on disturbance tolerance is established under which the state trajectory starting from the origin will remain inside a bounded set. By this condition, the Problem of estimating disturbance tolerance capability is formulated as a constrained Optimisation Problem. Then, the restricted L 2-gain property is analysed over the set of tolerable disturbances. An upper bound on the restricted L 2-gain is estimated by solving a constrained Optimisation Problem. Furthermore, when controller gain matrices are design variables, these Optimisation Problems can be adapted for controller design. All the results are achieved by utilising the multiple Lyapunov functions method and presented in terms of an LMI Optimisation-based approach. A numerical example is given to show the effecti...
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l 2 gain analysis and control synthesis of uncertain discrete time switched linear systems with time delay and actuator saturation
International Journal of Control, 2011Co-Authors: Xinquan Zhang, Jun Zhao, Georgi M DimirovskiAbstract:The Problem of L 2-gain analysis and control synthesis is studied for a class of uncertain discrete-time switched linear systems with time delay and saturating actuators by using the multiple Lyapunov functions method. With the state feedback controllers adopted beforehand, an analysis condition on disturbance tolerance is derived under which the operating state trajectory with zero initial condition will remain inside a bounded set in its proximity. Then with this condition at hand, the largest disturbance tolerance level is determined via the solution of a constrained Optimisation Problem. Then, a sufficient condition for the restricted L 2-gain over the set of tolerable disturbances is derived. The smallest upper bound on the restricted L 2-gain is also obtained by solving a constrained Optimisation Problem. Furthermore, when controller gain matrices are design variables, these Optimisation Problems are adjusted for solving the control design task. An illustrative numerical example is given to demonstr...