An optimal control problem of switched affine systems with continuous-time inequality constraints is considered in this paper. By introducing auxiliary piecewise constant function, Fischer-Burmeister function, control...
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An optimal control problem of switched affine systems with continuous-time inequality constraints is considered in this paper. By introducing auxiliary piecewise constant function, Fischer-Burmeister function, control parametrization enhancing transform (CPET) and smoothing technique, the optimal control problem is transformed into a parameter optimization problem with a single linear equality constraint and simple bounds on the variables. Then, the original problem can be solved using any gradient-based method. Finally, a flying capacitor converter is solved to illustrate the efficiency of our method.
In steel industry, production planning of continuous casting and hot rolling are connected closely with each other. In addition, they are constrained by many key factors such as due date, process routes, and productio...
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ISBN:
(纸本)9781467381840
In steel industry, production planning of continuous casting and hot rolling are connected closely with each other. In addition, they are constrained by many key factors such as due date, process routes, and production capacity. Therefore, it is necessary to solve the production planning problems for continuous casting and hot rolling in an integrated way. In this research, we model the integrated production planning problem for continuous casting and hot rolling by mixed integer programming with the objective of minimizing the setup time and maximizing the utilization of devices, based on which a heuristic algorithm is developed to solve the problem. Numerical experiments are conducted to evaluate the proposed algorithm based on the data acquired from a steel plant in Jiangsu Province, China, and the results show that the proposed algorithm works quite well in integrated production planning of continuous casting and hot rolling.
Human flesh search(HFS), a Web-enabled crowdsourcing phenomenon, originated in China a decade ago. In this article, we present the first comprehensive empirical analysis of HFS, focusing on the scope of HFS activities...
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Human flesh search(HFS), a Web-enabled crowdsourcing phenomenon, originated in China a decade ago. In this article, we present the first comprehensive empirical analysis of HFS, focusing on the scope of HFS activities, the patterns of HFS crowd collaboration process, and the characteristics of HFS participant networks. A survey of HFS participants was conducted to provide an in-depth understanding of the HFS community and various factors that motivate these participants to contribute. This article also advocates a new stream of Web science and social computing research that will be important in predicting the future growth and use of the World Wide Web.
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes ...
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ISBN:
(纸本)9781479937097
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes it robust to the variation of the original objective with respect to unknown parameters. We focus on the fixed switching mode sequences and convert the sensitivity problem into a conventional optimal switched control problem, which can be solved directly using the gradient descent algorithm. The efficacy of the proposed method is illustrated via numerical example.
Current paint deposition modeling approaches did not consider the influence of variable spraying parameters. As spray painting robot has been widely used in paint application, there is a great need to be able to gener...
Current paint deposition modeling approaches did not consider the influence of variable spraying parameters. As spray painting robot has been widely used in paint application, there is a great need to be able to generate paint deposition model efficiently for robot path planning and simulation. In this paper, a layered framework for paint deposition modeling system is proposed, which uses the Back-Propagation(BP) neural network to model the relationship between spraying parameters(flow rate and atomizing pressure) and the paint deposition model. By using this modeling system, it isn’t necessary for users to conduct extra experiments when flow rate and atomizing pressure change. According to results of experiment and simulation, this method can predict paint deposition rate effectively.
Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommo...
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The paper presents a new approach on haptic interface control for NAO robotic hand. The haptic teleoperation of NAO robot hand raises some issues, mapping the haptic device dynamic being the most important. The mappin...
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The paper presents a new approach on haptic interface control for NAO robotic hand. The haptic teleoperation of NAO robot hand raises some issues, mapping the haptic device dynamic being the most important. The mapping was achieved through Neural Network by determining a dynamic gain of robot haptic feedback. The results lead to the achievement of the haptic intelligent interfaces for the NAO robot hand control which can be integrated into an innovative haptic robot control system.
The problem of fault-tolerant control is discussed for the longitudinal model of an airbreathing hypersonic vehicle (AHV) with actuator faults and external disturbances. Firstly, a fault-tolerant control strategy is...
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The problem of fault-tolerant control is discussed for the longitudinal model of an airbreathing hypersonic vehicle (AHV) with actuator faults and external disturbances. Firstly, a fault-tolerant control strategy is presented for the longitudinal model of an AHV, which guarantees that velocity and altitude track their reference trajectories at an exponential convergence rate. However, this method needs to know the minimum value of the actuator efficiency factor and the upper bound of the external disturbances, which makes it not easy to implement. Then an improved adaptive fault-tolerant control scheme is proposed, where two adaptive laws are employed to estimate the upper bound of the external disturbances and the minimum value of the actuator efficiency factor, respectively. Secondly, the problem of designing a control scheme with control constraints is further considered, and a new adaptive fault-tolerant control strategy with input saturation is designed to guarantee that velocity and altitude track their reference trajectories. Finally, simulation results are given to show the effectiveness of the proposed methods.
This work was supported by National Natural Science Foun- dation of China (Nos. 60905009, 61004032, 61104119, 61174076, and 61172135), and Jiangsu Province Natural Science Foundation (Nos. SBK201240801 and BK20123...
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This work was supported by National Natural Science Foun- dation of China (Nos. 60905009, 61004032, 61104119, 61174076, and 61172135), and Jiangsu Province Natural Science Foundation (Nos. SBK201240801 and BK2012384.)
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