Model predictive control (MPC) has attracted wide attention in process industries with its ability to handle constrained multivariable processes. Computational complexity can become a limiting factor when MPC is appli...
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The continuous opinion dynamics with group-based heterogeneous bounded confidences is considered in this paper. Firstly, a slightly modified Hegselmann-Krause model is proposed, and the agents are divided into open-mi...
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We present an opinion formation model in which individuals are supposed to seek a consensus on the truth. All agents are boundedly confident in the sense that an agent communicates with another one if their opinion di...
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Tissue P systems are a class of distributed and parallel computing models inspired from inter-cellular communication and cooperation between cells. In this work, a variant of tissue P system, named tissue P system wit...
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Tissue P systems are a class of distributed and parallel computing models inspired from inter-cellular communication and cooperation between cells. In this work, a variant of tissue P system, named tissue P system with look-ahead mode, is discussed for decreasing the inherent non-determinism of tissue P systems and helping implementing tissue P systems on computers. Such systems are proved to be universal by simulating register machine, and they are also proved to be able to efficiently solve computationally hard problems by means of a spacetime tradeoff, which is illustrated with a polynomial solution to 3-coloring problem.
Considering the accuracy of traditional echo simulation methods, an improved echo simulation method of geosynchronous synthetic aperture radar (GEO SAR) is proposed, which has a higher accuracy. Aiming at the fidelity...
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ISBN:
(纸本)9781510822023
Considering the accuracy of traditional echo simulation methods, an improved echo simulation method of geosynchronous synthetic aperture radar (GEO SAR) is proposed, which has a higher accuracy. Aiming at the fidelity of echo simulation, this article develops a target scene model based on curved surface and an algorithm for judging whether the targets are illuminated by the beam. The echo simulation method is conducted with GEOSAR parameters, which indicates the correctness of scene model and beam judging algorithm. What's more, the effect of scene model and judging algorithm on imaging algorithm is analyzed. And the approach in this paper has a significant meaning for the investigation of space-borne SAR echo simulation and imaging algorithm.
This paper presents a simple but effective sentence-length informed method to select informative sentences for active learning (AL) based SMT. A length factor is introduced to penalize short sentences to balance the &...
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The traditional PHD tracker(PHDT) generates the newborn PHD from the prior knowledge, thus can not be applied when the prior newborn target knowledge is unavailable. To this end, we propose a historical information fe...
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ISBN:
(纸本)9781479947249
The traditional PHD tracker(PHDT) generates the newborn PHD from the prior knowledge, thus can not be applied when the prior newborn target knowledge is unavailable. To this end, we propose a historical information feedback multiple-target tracker(HIFMTT) as an improvement to the traditional PHDT. The HIFMTT generates the newborn PHD through processing the historical observation and estimating results with a feedback structure, and thus can overcome the above mentioned difficulty. For the real application, we also construct the PF-HIFMTT algorithm by embedding the particle filter into the HIFMTT framework. The simulation results demonstrate the effectiveness of the PF-HIFMTT algorithm in two different scenarios.
The ultra-weak luminescence (UWL) feature of plant seeds is investigated. Before UWL measurement, the maize seeds are moistened in distilled water for various periods, which are 2h, 4h, 6h and 8h. And then the seeds a...
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Membrane algorithms （MAs）, which inherit from P systems, constitute a new parallel and distribute framework for approximate computation. In the paper, a membrane algorithm is proposed with the improvement that the i...
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Membrane algorithms （MAs）, which inherit from P systems, constitute a new parallel and distribute framework for approximate computation. In the paper, a membrane algorithm is proposed with the improvement that the involved parameters can be adaptively chosen. In the algorithm, some membranes can evolve dynamically during the computing process to specify the values of the requested parameters. The new algorithm is tested on a well-known combinatorial optimization problem, the travelling salesman problem. The em-pirical evidence suggests that the proposed approach is efficient and reliable when dealing with 11 benchmark instances, particularly obtaining the best of the known solutions in eight instances. Compared with the genetic algorithm, simulated annealing algorithm, neural net-work and a fine-tuned non-adaptive membrane algorithm, our algorithm performs better than them. In practice, to design the airline network that minimize the total routing cost on the CAB data with twenty-five US cities, we can quickly obtain high quality solutions using our algorithm.
Smart grid, a concept proposed in 2003, is now attracting more and more attention because of its ability to integrate intensive information and renewable energy generating infrastructures. This paper focuses on schedu...
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ISBN:
(纸本)9781479947249
Smart grid, a concept proposed in 2003, is now attracting more and more attention because of its ability to integrate intensive information and renewable energy generating infrastructures. This paper focuses on scheduling charging process between multiple electric vehicles and charging stations in smart grid with renewable energy and storage devices. From the perspective of the whole system, the goal of minimizing the time average electricity cost with time-varying electricity price can be reached in this paper. With the participation of storage devices, charging-station-private renewable generation and electric vehicles power demands, we mathematically formulate a stochastic optimal problem and address it by employing Lyapunov optimization methods. Through mathematical derivation, stability of storage devices is achieved. Meanwhile, the upper bound for time average electricity cost can be calculated. The feature of our research is the independence on stochastic distribution of demand and renewable generation. Simulation results show the convergence of storage device state of charging（SOC） and illustrate the efficiency and performance of our algorithm.
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