This paper presents an effective method for robustness analysis and synthesis of a multi-PID controller for non-linear systems where desirable robustness and performance properties must be maintained across a large ra...
详细信息
This paper presents an effective method for robustness analysis and synthesis of a multi-PID controller for non-linear systems where desirable robustness and performance properties must be maintained across a large range of operating conditions. The robustness analysis problem is solved using an uncertain multimodel of the original non-linear system. The model of uncertainties used is an interval matrix modeled by a stochastic matrix which gives poor conservatism in the analysis of stability robustness. Moreover, the robust stability margin is interpreted as a smallest interval matrix that causes instability. This stability margin is evaluated using a random search algorithm. Simulation studies are used to demonstrate the effectiveness of the proposed method. (c) 2006 Elsevier Ltd. All rights reserved.
A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of i...
详细信息
A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressors by incrementally minimising the training mean square error using a guided random search algorithm, and it offers a state-of-the-art method for constructing very sparse models that generalise well.
The objective of this study is to determine a production schedule for a set of jobs so as to minimize the peak load for the entire planning horizon given the production duration and the cyclic frequencies of the jobs....
详细信息
The objective of this study is to determine a production schedule for a set of jobs so as to minimize the peak load for the entire planning horizon given the production duration and the cyclic frequencies of the jobs. We refer to this problem as the peak load minimization problem (PLMP). An efficient heuristic, viz. Proc. PLMP, is proposed to solve such class of problems. There are two parts for the Proc. PLMP: a greedy procedure that secures an initial production schedule and a schedule smoothing procedure that performs a local search to reduce the maximal load. Numerical experiments verify that Proc. PLMP is efficient, since its run time is of cubic order of the problem size, i.e., it is approximately an O(n(3)) algorithm. A major application of Proc. PLMP is to test the feasibility of a given set of a solution for the Economic Lot Scheduling Problem using the extended basic period approach.
This paper deals with the problems of controlled random search algorithms (CRS algorithms) and their use in regression analysis. A modified CRS algorithm of Price is described, which is more effective when compared wi...
详细信息
This paper deals with the problems of controlled random search algorithms (CRS algorithms) and their use in regression analysis. A modified CRS algorithm of Price is described, which is more effective when compared with the original algorithm in optimizing regression models, first non-linear ones. The principal modification consists in randomizing the search for the next trial points. Some results of testing the algorithm, using both real and modeled data, are given to illustrate its possibilities when estimating the parameters of non-linear regression models.
For convenience to measure and automatically identify the synchronous machine parameters, a new microprocessor-based parameter identifier of synchronous machines is developed and described in this paper. The hardware ...
详细信息
ISBN:
(纸本)0780330269
For convenience to measure and automatically identify the synchronous machine parameters, a new microprocessor-based parameter identifier of synchronous machines is developed and described in this paper. The hardware of this identifier consists of three parts: signal metering part, identification part and output printer/liquid crystal display. Park's two axis model and random search algorithm are input to a 8098-microprocessor as the second part which is linked to a printer for results output. Either the DC decay test, or the low voltage AC standstill test presented in this paper may be used. When signals are measured and input to the identifier, the identification system automatically gives out all Park's parameters at the d/q axis. Field tests have been carried out for generators rated at (50-300) MVA at Baishan Hydro-Power Station and for some machines at other power stations in China. Results show that the identifier can effectively and quickly identify all Park's parameters of large synchronous machines.
An optical system for learning neural networks with a 2-D architecture was constructed using a Selfoc microlens array. Using this system, we achieved pattern recognition of typed alphabet characters detected directly ...
详细信息
暂无评论