For the stacker-reclaimer job optimization problem of sinter material plant in iron and steel enterprises, this paper establishes a multi-objective optimization model for stacker-reclaimer job according to the product...
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Based on the simplified hypersonic air-breathing propulsion model, this paper studies the output regulation/ safety protection multi-objective switching control problem focusing on the safety boundaries existing durin...
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Based on the simplified hypersonic air-breathing propulsion model, this paper studies the output regulation/ safety protection multi-objective switching control problem focusing on the safety boundaries existing during the working progressing. Command switching strategy based on the safety margin is researched. In the safe region with a sufficiently large safety margin, the regulation loop is active and the regulated output is controlled to track the reference signal as quickly as possible. But the protected loop will be switched on and the protected output will be forced to escape from dangers once the safety boundaries approach. A dynamical state feedback controller and a protection controller work in turn in a hysteresis switching way to guarantee the asymptotic tracking with certain safety performance. The conditions under which the asymptotic tracking could be guaranteed are given and the control parameters could be calculated by solving optimal problems. It is pointed out in this paper that the designing of the regulation controller and the protection controller could be implemented separately, and the control parameters could be optimized to get certain optimal performance index using numerical method. Finally, simulation researches are performed to verify the effectiveness of the given methods, which also indicate that the commands switching control can improve both safety margin and the dynamical performance indices than the single controller.
To evaluate the influence of wind power fluctuations and optimize the control of wind power system, a method of wind power slope events classification and forecasting based on statistical analysis and multiple support...
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To evaluate the influence of wind power fluctuations and optimize the control of wind power system, a method of wind power slope events classification and forecasting based on statistical analysis and multiple support vector machine was presented. Firstly, the wind power slope events were defined and classified. Then, the wind power data collected from a wind farm were used to investigate the classification and range of slope events, and the internal laws of slope events were explored. In this context, the binary support vector machine (SVM) was extended to multiple support vector machines (MSVMs) and was applied to the classification of slope down/up events for both one-step and multi-step ahead scenarios. Finally, the numerical results based on the wind power data verify the effectiveness of the proposed approach.
This paper presents a neurodynamic approach to model predictive control (MPC) of constrained piecewise linear systems. A novel procedure for estimating uncertain system parameters of piecewise linear systems is propos...
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This paper presents a neurodynamic approach to model predictive control (MPC) of constrained piecewise linear systems. A novel procedure for estimating uncertain system parameters of piecewise linear systems is proposed. The model predictive control problem is then formulated as a quadratic optimization problem. To realize the real-time optimization in MPC, a one-layer recurrent neural network is employed for solving the quadratic optimization problem during each sampling interval. The overall MPC approach is of low computational complexity. Simulation results are included to substantiate the effectiveness and usefulness of the proposed approach.
A compound controller is proposed to alleviate the considerable chattering in output of zero phase error tracking controller (ZPETC), when the flight simulator losses command data of simulation signal. Besides, the ...
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A compound controller is proposed to alleviate the considerable chattering in output of zero phase error tracking controller (ZPETC), when the flight simulator losses command data of simulation signal. Besides, the shortcomings, caused by conventional differential methods in retrieving velocity and acceleration signals, are avoided to a certain extent. The compound controller based on disturbance observer (DOB) is composed of a feed-forward controller and a feedback controller. It estimates velocity and acceleration of unknown tracking signal, and also velocity response with an approximate method for differential. The experiments on a single-axis flight simulator show that the proposed method has strong robustness against parameter perturbations and external disturbances, owing to the introduced DOB. Compared with the scheme with ZPETC, the proposed scheme possesses more simple design and better tracking performance. Moreover, it is less sensitive to position command distortion of flight simulator.
One of challenges in GIS Web service is mass GIS data storage and processing. There are at least three obstacles that oppose dealing with this challenge: the mismatch between the frequent requirement of concurrent tas...
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One of challenges in GIS Web service is mass GIS data storage and processing. There are at least three obstacles that oppose dealing with this challenge: the mismatch between the frequent requirement of concurrent tasks for accessing data in GIS Web service and the poor performance of conventional storage mechanism such as relational databases;the insufficiency of relational databases to manage complex data types in GIS Web service;the horizontal scalability of storage for non-stop GIS Web service evolution. This paper proposes a distributed cached storage solution, as the mixture of MongoDB storage and Memcached cache, for GIS Web service. Both techniques are closely related to NoSQL that is a class of database management system identified by its non-adherence to the widely used relational database management system (RDBMS) model. A concise case that facilitates a better understanding of this work indicates its feasibility.
In this study, the automatic technique for the continuous light sleep level estimation and prediction is developed. The ultimate purpose is to realize the automatic sleep level evaluation for short-term day time nap s...
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In this study, the automatic technique for the continuous light sleep level estimation and prediction is developed. The ultimate purpose is to realize the automatic sleep level evaluation for short-term day time nap sleep. The main method is based on the conditional probability obtained according to the characteristics of neuro-physiological signals including EEG, EOG and EMG. The estimated and predicted sleep level are compared with the visual inspection. The obtained results showed that the presented automatic technique is practicable to be an assistant subjective evaluation tool for sleep level analysis.
The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all t...
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ISBN:
(纸本)9781467320658
The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all the states starting from the origin by inputs with peak-values. The constraint with a special structure that appeared in our previous result is removed by combining the Jensen integral inequality and the reciprocally convex approach. In addition, the obtained condition brings a tighter reachable set estimation with lower computational complexity. We also extend the above result to systems with polytopic uncertainties. Finally, an example is presented to illustrate the merit of our proposed method.
This note generalizes the stability analysis for a high frequency networked control system. The high-frequency networked control system is described by a delta operator system with a high frequency constraint. Stabili...
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This note generalizes the stability analysis for a high frequency networked control system. The high-frequency networked control system is described by a delta operator system with a high frequency constraint. Stability conditions are given for the high frequency delta operator system. Furthermore, by developing the generalized Kalman-Yakubovic-Popov lemma, improved stability conditions are also presented in terms of linear matrix inequalities. Some experiment results are presented to illustrate the effectiveness of the developed techniques.
Blast furnace charging distribution plays an important role in the steel production. The radar data containing the information of present burden surface situation and the cross thermometer data reflecting the trend of...
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Blast furnace charging distribution plays an important role in the steel production. The radar data containing the information of present burden surface situation and the cross thermometer data reflecting the trend of burden surface are taken as the training data of fuzzy neural network. The trained network will be used for the future clustering of the data. Considering the demand of energy-saving and consumption-decreasing, the method sets up the basic for the distribution control in the next step. The simulation results show the effectiveness of the proposed method.
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