Using fewer control inputs and links to drive the dynamics on complex networks toward some desired state is a basic issue in the field of network controllability. The links between control inputs and controlled object...
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ISBN:
(纸本)9781467374439
Using fewer control inputs and links to drive the dynamics on complex networks toward some desired state is a basic issue in the field of network controllability. The links between control inputs and controlled objects are defined as driver edges,and the minimum links theorem is proposed to determine the minimum set of driver edges for full controllability of a complex directed network with arbitrary structures. Simulations with different influence factors of the driver edges number are *** results based on model and real networks show the following conclusions. The sparse and heterogeneous networks require more driver edges, while the dense and homogeneous networks can be controlled easily. The driver edges number equals almost to the number of the driver nodes. Moreover, the driver edges number is determined mainly by the networks degree distribution.
For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introd...
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ISBN:
(纸本)9781467374439
For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.
Full-scale experiments have been carried out to adapt the activated sludge model ASM2d to include the influence of metal dosage （Fe^3＋ and Al^3＋） for phosphorus removal. Phosphorus removal rates, nitrification rat...
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Full-scale experiments have been carried out to adapt the activated sludge model ASM2d to include the influence of metal dosage （Fe^3＋ and Al^3＋） for phosphorus removal. Phosphorus removal rates, nitrification rates, as well as pH and sludge settling performance, were evaluated as functions of the metal dosages. Furthermore, models relating certain parameters to the dosage of chemicals have been derived. Corresponding parameters in the ASM2d and the secondary settler models, included in the Benchmark Simulation Model No 1 （BSM1）, have been modified to take the metal influence into consideration. Based on the effluent limits and penalty policy of China, an equivalent evaluation method was derived for the total cost assessment. A large number of 300-day steady-state and 14-day open-loop dynamic simulations were performed to demonstrate the difference in behavior between the original and the modified BSM1. The results show that 1） both in low and high mole concentrations, Fe^3＋ addition results in a higher phosphorus removal rate than Al^3＋; 2） the sludge settling velocity will increase due to the metal addition; 3） the respiration rate of the activated sludge is decreased more by the dosage of Al^3＋ than Fe^3＋; 4） the inhibition of Al^3＋ on the nitrification rate is stronger than that of Fe^3＋; 5） the total operating cost will reach the minimum point for smaller dosages of Fe^3＋, but always increase with Al^3＋ addition.
A method for optimal sizing of hybrid system consisting of a Photovoltaic (PV) panel, diesel generator, Battery banks and load is considered in this paper. To this end a novel approach is proposed. More precisely a me...
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ISBN:
(纸本)9781509015948
A method for optimal sizing of hybrid system consisting of a Photovoltaic (PV) panel, diesel generator, Battery banks and load is considered in this paper. To this end a novel approach is proposed. More precisely a methodology for the design and simulation of the behavior of Hybrid system PV-Diesel-Battery banks to electrify an isolated rural site in southern Algeria Illizi (djanet). This methodology is based on the concept of the loss power supply probability (LPSP). Sizing and simulation are performed using MATLAB. The techno-economic study shows the performances of the proposed approach.
An anti-disturbance controller which considers the reaction wheel friction dynamic is proposed for spacecraft attitude control system to overcome the deterioration of performance under reaction wheel friction. The dyn...
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ISBN:
(纸本)9781467374439
An anti-disturbance controller which considers the reaction wheel friction dynamic is proposed for spacecraft attitude control system to overcome the deterioration of performance under reaction wheel friction. The dynamic model of the system, including the reaction wheel dynamic and the spacecraft dynamic, is given beforehand. Then in order to counteract the effect of the reaction wheel friction, a sliding mode observer is designed to obtain the friction estimation. Finally a H controller is adopted to attenuate the estimate error and other bounded disturbances, such as the environment disturbance. The simulation on the microsatellite attitude control system demonstrates the correctness and effectiveness of the proposed method.
In this paper,the problem of iterative learning control(ILC) for discrete-time systems with quantized output measurements is ***,a logarithmic quantizer is introduced and an ILC scheme is constructed by using output s...
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ISBN:
(纸本)9781479970186
In this paper,the problem of iterative learning control(ILC) for discrete-time systems with quantized output measurements is ***,a logarithmic quantizer is introduced and an ILC scheme is constructed by using output signals with only a finite number of quantization *** using sector bound method to deal with the quantization error,a learning condition of ILC that guarantees the convergence of tracking error is derived through rigorous *** is shown that the convergence condition is determined by quantization level,and the tracking error converges to a bound depending on quantization ***,an illustrative example is presented to demonstrate the theoretical results.
As the new generation of smart sensors is evolving towards high sampling acquisitions systems, the amount of information to be handled by learning algorithms has been increasing. The Graphics Processing Unit (GPU) arc...
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As the new generation of smart sensors is evolving towards high sampling acquisitions systems, the amount of information to be handled by learning algorithms has been increasing. The Graphics Processing Unit (GPU) architectures provide a greener alternative with low energy consumption for mining big-data, harnessing the power of thousands of processing cores in a single chip, opening a widely range of possible applications. Here, we design a novel evolutionary computing GPU parallel function evaluation mechanism, in which different parts of time series are evaluated by different processing threads. By applying a metaheuristics fuzzy model in a low-frequency data for household electricity demand forecasting, results suggested that the proposed GPU learning strategy is scalable as the number of training rounds increases.
In this paper, operator based fault tolerant control for uncertain nonlinear system with actuator fault is considered by using operator based robust right coprime factorization approach. In detail, on the basis of the...
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ISBN:
(纸本)9781467384155
In this paper, operator based fault tolerant control for uncertain nonlinear system with actuator fault is considered by using operator based robust right coprime factorization approach. In detail, on the basis of the operator based control design structure, fault detection system design and fault tolerant control system design are considered for nonlinear system without and with uncertainty, respectively. In both of the proposed control system design, the fault signal can be detected and some sufficient conditions are given, which ensure that the designed system is stable and the output tracking performance can be realized. Finally, the theoretical analysis is applied onto an aluminium plate temperature control process and the effectiveness of the theoretical analysis is demonstrated by the simulation results.
In this paper, the real time tracking performance of the fuzzy PID controller has been evaluated on nonlinear 3-DOF helicopter system. Quanser 3-DOF helicopter system has been utilized as experimental setup. Three sep...
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