In this paper dynamic power shaping control is applied to a continuous fermentation process which is a benchmark problem in the nonlinear process systems. In contrast with other techniques, dynamic power shaping contr...
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Linear wireless sensor networks are characterized by a linear topology and multihop forwarding patterns. Sensors closer to the base station are usually required to forward a large amount of traffic for sensors far...
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ISBN:
(纸本)9781457715860
Linear wireless sensor networks are characterized by a linear topology and multihop forwarding patterns. Sensors closer to the base station are usually required to forward a large amount of traffic for sensors farther from the base station, leading to the environment cannot be effectively monitored. The energy consumption balance is achieved in the paper by adjusting the distance between nodes. The distance of nodes near the base station become short because they have to forward the more traffic. The node deployment is converted to optimization problems of distance distribution between nodes. The network lifetime under different number of forwarding region is discussed. Simulation results show that this deployment strategy obtains the energy consumption balance.
Many algorithms have been proposed for mining fuzzy association rules in static datasets with quantitative attributes. However, there is few study on mining fuzzy association rules in data streams. This paper presents...
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With the advantage of simulating the details of a transportation system, the “microsimulation” of a traffic system has long been a hot topic in the Intelligent Transportation systems (ITS) research. The Cellular Aut...
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With the advantage of simulating the details of a transportation system, the “microsimulation” of a traffic system has long been a hot topic in the Intelligent Transportation systems (ITS) research. The Cellular Automata (CA) and the Multi-Agent System (MAS) modeling are two typical methods for the traffic microsimulation. However, the computing burden for the microsimulation and the optimization based on it is usually very heavy. In recent years the Graphics Processing Units (GPUs) have been applied successfully in many areas for parallel computing. Compared with the traditional CPU cluster, GPU has an obvious advantage of low cost of hardware and electricity consumption. In this paper we build an MAS model for a road network of four signalized intersections and we use a Genetic Algorithm (GA) to optimize the traffic signal timing with the objective of maximizing the number of the vehicles leaving the network in a given period of time. Both the simulation and the optimization are accelerated by GPU and a speedup by a factor of 195 is obtained. In the future we will extend the work to large scale road networks.
Recursive subspace identification methods have been an active area of research in recent years. In this paper, a recursive version of a closed-loop subspace method is proposed for on-line system modeling. The algorith...
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The paper considers the problem of tracking control of a class of nonlinear systems with unknown periodic time-varying parameters via dynamic output feedback. Both matched disturbances and unmatched disturbances are c...
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Rubber mixing process is a typical non-linear fed-batch process without well developed mechanism. Soft-sensing modeling of the mixture's Mooney viscosity is crucial and challenging since this index is an important...
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Abstract This article utilizes the independent component regression (ICR) algorithm which is capable of extracting non-Gaussian components from both input and output variables for monitoring of complex industrial syst...
Abstract This article utilizes the independent component regression (ICR) algorithm which is capable of extracting non-Gaussian components from both input and output variables for monitoring of complex industrialsystems. The components extracted by ICR are relevant in the sense of of mutual information rather than second order statistics. Statistical local approach is then incorporated into the ICR algorithm to monitor changes in process and model parameters. The proposed monitoring strategy is capable of detecting non-Gaussian parameter changes and the monitoring task is simplified by establishing low dimensional Gaussian monitoring statistics. An application study to fluidized bed reactor shows that the proposed monitoring strategy are efficient in detecting process faults.
This paper is concerned with the control performance assessment based on the multivariable generalized minimum variance *** explicit expression for the feedback controller-invariant(the generalized minimum variance)te...
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This paper is concerned with the control performance assessment based on the multivariable generalized minimum variance *** explicit expression for the feedback controller-invariant(the generalized minimum variance)term of the multivariable control system is obtained,which is used as a standard benchmark for the assessment of the control performance for multi input multi output(MIMO)*** proposed approach is based on the multivariable minimum variance *** comparison with the minimum variance benchmark, the developed method is more reasonable and practical for the control performance assessment of multivariable *** approach is illustrated by a simulation example and an industrial application.
A new 2D walking pattern generation method is proposed for biped robots in this paper. The key feature of the proposed method is to obtain an optimal walking pattern on-line with the largest stability in the sense of ...
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