In this paper, the static output feedback stabilization of discrete event dynamic systems(DESs) via the semi-tensor product(STP) of matrices is investigated. Firstly, the dynamics of discrete event dynamical systems m...
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In this paper, the static output feedback stabilization of discrete event dynamic systems(DESs) via the semi-tensor product(STP) of matrices is investigated. Firstly, the dynamics of discrete event dynamical systems modelled by deterministic Moore-type finite automata are converted into an matrix expression in the STP frame. Secondly, necessary and sufficient condition for the existence of a static output feedback control pattern, stabilizing the controlled discrete event dynamical systems to some equilibrium point, is given, and constructive algorithm to seek the static output feedback control pattern is ***, a example is presented to illustrate the effectiveness of the proposed approach.
Robot plays an increasingly important role in daily life. This paper presents a vision-based wheeled robot for playing Tetris. How to control the robot is elaborated at length in this paper. The robot adopted a KNR co...
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Conflict Based Search(CBS) is used for multi-agent Pathfinding (MAPF) to enable each Agent to reach the target node. The CBS algorithm uses the heuristic algorithm A* search to calculate the MAPF solution, and the pat...
Conflict Based Search(CBS) is used for multi-agent Pathfinding (MAPF) to enable each Agent to reach the target node. The CBS algorithm uses the heuristic algorithm A* search to calculate the MAPF solution, and the path planning uses forward search, which cannot explore the path of the unknown region. On this basis, this paper proposes that, in the case of unknown map and changing environment at any time, when encountering new obstacles, the information obtained from previous search should be used without completely replanning the path. Because of the idea of incremental programming, the number of reprogramming times and the number of affected nodes can be reduced. The optimized algorithm consumes less time and memory, and improves the efficiency of path planning.
Magnetic resonance imaging (MRI) provide superior visuals that might be suitable for complicated surgical procedures in complex parts of the human body like brain and heart. Brain tumor removal is one of the trickiest...
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Magnetic resonance imaging (MRI) provide superior visuals that might be suitable for complicated surgical procedures in complex parts of the human body like brain and heart. Brain tumor removal is one of the trickiest surgical procedures and the pituitary tumor is one of the most common type of intracranial tumors. In this paper, we present an MRI compatible robotic system for pituitary tumor removal via trans-nasal access to the surgical site. The robotic system is designed to operate in a Siemens® 3T MRI scanner. A 5mm diameter and 6-DOF design specific manipulator is developed to access the pituitary glands and remove the tumor using the commercially available tools. The actuation system is designed to fit inside the MRI bore and operate just above the nasal entry point. The manipulator is designed to work in a 20×20mm workspace of the pituitary gland and this workspace is validated by experiments. The presented robotic system is expected to decrease the complexity by accessing the surgical site through the nasal cavity and improve the quality of tumor removal by providing better image quality under MRI guidance.
Flight vehicle attitude control is of great importance. In this paper, a flight controller based on active disturbance rejection control(ADRC) is proposed. Then stability margin tester is utilized to tune the paramete...
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ISBN:
(纸本)9781509054626
Flight vehicle attitude control is of great importance. In this paper, a flight controller based on active disturbance rejection control(ADRC) is proposed. Then stability margin tester is utilized to tune the parameters of the controller to meet the specified stability margins, which will serve as a practical tuning method in practice. Moreover, the CAD software based on MATLAB GUI is designed to integrate the tuning and simulation process. Then the simulations are implemented to demonstrate the effectiveness of this controller and tuning method.
For the upcoming China Ⅵ gasoline standard with much more strictly controlled properties, and high requirements for blending efficiency, a blending process and coordinated optimization algorithm for blending multiple...
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Compared with traditional 2D image processing, 3D point cloud processing has become a hot technology in the industry, but there are few researches applied to nondestructive testing of curved workpieces. This article a...
Compared with traditional 2D image processing, 3D point cloud processing has become a hot technology in the industry, but there are few researches applied to nondestructive testing of curved workpieces. This article aims at the non-destructive testing of curved workpieces, using 3D point cloud and robotic arm for water immersion ultrasonic non-destructive testing. Aiming at the 3D point cloud with many outliers, using the commonly used filter in two-dimensional images-the guide filter, the algorithm is improved and used for the filtering and downsampling of the 3D point cloud, and the adjustment of the curved surface workpiece and the robot arm's pose is introduced. Finally, the workpiece was scanned by a robotic arm with a water immersion ultrasonic nondestructive testing system to prove the feasibility of the experiment and improve the detection efficiency of traditional nondestructive testing technology.
The paper proposes the architecture of a digital platform for the implementation of distributed control and navigation systems for underwater robotic systems that perform technological operations in Arctic. A system o...
The paper proposes the architecture of a digital platform for the implementation of distributed control and navigation systems for underwater robotic systems that perform technological operations in Arctic. A system of command has been developed for this platform, which provides flexible assignment of various types and purposes of underwater robots missions. The concept of creating distributed control systems of the underwater robots is proposed. It provides the compatibility of existing on-board underwater robots systems with the proposed solution based on compact hydroacoustic systems of global hydroacoustic navigation developed in PAO 'Dalpribor' (Vladivostok).
The dynamics of opinion formation with two types of individuals over social networks is analyzed in this *** each interaction, individuals pick up one of his neighbors with a probability depending on the neighbor’s c...
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The dynamics of opinion formation with two types of individuals over social networks is analyzed in this *** each interaction, individuals pick up one of his neighbors with a probability depending on the neighbor’s closeness and popularity and update their opinion based on the convex combination of the opinion of the interactive individuals. It is found that when the stubborn individuals have the same initial opinion, the whole population will definitely converge to a consensus,otherwise, opinion fluctuation can be be observed if regular individuals can reach at least two stubborn individuals with different opinion. Moreover, in the small world network larger average degree and rewiring probability can accelerate convergence speed to a large extent especially when they are relative small. The results may have some insight on the opinion dynamics in the real world.
The identification problem of systems with logarithmic quantized data is analyzed in this paper. A discrete-time system with an unknown parameter vector and Gaussian noise is considered. The output of the system is qu...
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The identification problem of systems with logarithmic quantized data is analyzed in this paper. A discrete-time system with an unknown parameter vector and Gaussian noise is considered. The output of the system is quantized by a logarithmic quantizer. The estimator of the unknown parameter vector is obtained using the quantile-based estimation. The convergence almost everywhere of the estimator and the upper bound of the estimation error are also analyzed, respectively.
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