This paper focuses on the design of autonomous and collaborative control strategies to govern the relative distances among multiple spacecraft in formation with no ground intervention. A coordinate load-sharing contro...
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This paper focuses on the design of autonomous and collaborative control strategies to govern the relative distances among multiple spacecraft in formation with no ground intervention. A coordinate load-sharing control structure for formation flying and a methodology to control their dynamic models with slow time-varying and uncertain parameters are the main objectives of this work. The method is applied to a deep space formation example, where the uncertainty in spacecraft fuel masses is also considered.
This paper introduces the basic idea and provides the mathematical formulation of the delayed feedback control （DFC） methodology, which has been widely used in chaos control. Stability analysis including the well-kn...
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This paper introduces the basic idea and provides the mathematical formulation of the delayed feedback control （DFC） methodology, which has been widely used in chaos control. Stability analysis including the well-known odd number linfitation of the DFC is reviewed. Some new developments in characterizing the limitation of the DFC are presented. Various modified DFC methods, which are developed in order to overcome the odd number limitation, are also described. Finally, some open problems in this research field are discussed.
In this paper, we aim at developing a System-on-Chip, SoC, which can capture image as well as produce vehicle lane map at the same time. We adopt Peak-Finding based lane detection algorithm that can achieve high recog...
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In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group c...
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In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group concept. Compared to the vector median filter, the proposed technique consistently yields better results in suppressing both the random-valued and fixed-valued impulsive noise. The main advantage of the proposed noise detection framework is its enormous computational speed, which enables efficient filtering of large images in real-time applications.
In general-sum games, multiagent cooperation has no global objective, and only individual rationality is concerned. Agent's learning is based on the assumption of opponents' policies, and this assumption may b...
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In general-sum games, multiagent cooperation has no global objective, and only individual rationality is concerned. Agent's learning is based on the assumption of opponents' policies, and this assumption may be wrong. By defining the global objective of agents, a novel multiagent reinforcement learning algorithm was proposed. All agents selected negotiated policies during learning, and punished those agents deviating from negotiated policies to ensure the execution of these policies. It was proved that the learned Q values on each stage games converge under certain restrictions. An example was given to analyze the proven result.
Today's circuit design process is become a complex task. Sequential logic synthesis is an important part of the circuit design flow. The logic synthesis phase is a bottleneck during the overall design process sinc...
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Today's circuit design process is become a complex task. Sequential logic synthesis is an important part of the circuit design flow. The logic synthesis phase is a bottleneck during the overall design process since heuristic techniques which take a considerable amount of time are often used during this phase. A good solution is realized in a constrained design space by using global optimization techniques. The purpose of this paper is to develop a robust optimization algorithm, that searches the solution space as efficiently as possible in order to find a global optimization of the internal states of a specified circuit, as a global solution to a high level synthesis problem.
Iterative learning control has the potential to significantly improve the tracking performance of repeating trajectory control systems. However, until now little attempt has been made to measure this performance quant...
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Iterative learning control has the potential to significantly improve the tracking performance of repeating trajectory control systems. However, until now little attempt has been made to measure this performance quantitatively. A new iterative learning control performance index PI N is introduced which allows direct, quantitative, performance comparison of different algorithms, or alternatively a single algorithm which has variable tuning parameters. In particular, PI N can be used as a tool for selecting and adjusting algorithm tuning parameters. Application of the new performance index is demonstrated with both simulation studies and practical implementation on a gantry robot
Telepresence aims at giving a human user the impression of being present in a remote environment. However, the user is actually situated in a user environment and his motion is tracked. A mobile teleoperator in the re...
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Telepresence aims at giving a human user the impression of being present in a remote environment. However, the user is actually situated in a user environment and his motion is tracked. A mobile teleoperator in the remote environment replicates this motion. The user can thus control the mobile teleoperator's locomotion by walking. A stereo-camera system mounted on the mobile teleoperator constantly records live camera images and transfers them to the user environment, where they are presented to the user on a head-mounted display. This paper presents a long distance experiment, in which a mobile teleoperator was controlled over a standard Internet connection by natural locomotion. Without further processing of the user's motion data, however, only exploration of a remote environment of the same size or smaller than the user environment is possible. As this is not desirable, we use motion compression, an optimal nonlinear transformation of the user's path. This algorithm allows controlling free motion in an arbitrarily large target environment from a limited user environment.
In order to display the main characteristics of a well-known flat system, an interactive 3D simulation of SpiderCrane has been developed using Ejs(Easy Java Simulations) and Matlab/Simulink. The application allows use...
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In order to display the main characteristics of a well-known flat system, an interactive 3D simulation of SpiderCrane has been developed using Ejs(Easy Java Simulations) and Matlab/Simulink. The application allows users to set up different trajectories and introduce disturbances in a very visual and attractive way.
In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode...
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In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode of series connection and parallel connection system was first set up and their rationalities were proven. An illustrational example was given to demonstrate the effectiveness of this theory.
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