Cutting Stock Problems (CSP) arise in many production industries where large stock sheets must be cut into smaller pieces. An irregular-shaped nesting approach for two-dimensional cutting stock problem is constructed ...
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Cutting Stock Problems (CSP) arise in many production industries where large stock sheets must be cut into smaller pieces. An irregular-shaped nesting approach for two-dimensional cutting stock problem is constructed in this research. We present a heuristic based on Particle Swarm Optimization Algorithm (PSO) for irregular-shaped two-dimensional cutting stock problem, where PSO is utilized to search optimal solution. Furthermore, the proposed approach combines a grid approximation method with Bottom-Left-Fill heuristic placement strategy to allocate irregular items. We evaluate the proposed approach using 15 revised benchmark problems available from the EURO Special Interest Group on Cutting and Packing. The performance illustrates the effectiveness and efficiency of our approach in solving irregular cutting stock problems.
Crowded scene analysis is becoming increasingly popular in computer vision field. In this paper, we propose a novel approach to analyze motion patterns by clustering the hybrid generative-discriminative feature maps u...
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ISBN:
(纸本)9781479923427
Crowded scene analysis is becoming increasingly popular in computer vision field. In this paper, we propose a novel approach to analyze motion patterns by clustering the hybrid generative-discriminative feature maps using unsupervised hierarchical clustering algorithm. The hybrid generative-discriminative feature maps are derived by posterior divergence based on the tracklets which are captured by tracking dense points with three effective rules. The feature maps effectively associate low-level features with the semantical motion patterns by exploiting the hidden information in crowded scenes. Motion pattern analyzing is implemented in a completely unsupervised way and the feature maps are clustered automatically through hierarchical clustering algorithm building on the basis of graphic model. The experiment results precisely reveal the distributions of motion patterns in current crowded videos and demonstrate the effectiveness of our approach.
This paper designs a mixed H 2 /H ∞ model predictive algorithm for systems with energy-bounded disturbance. The formulation of H 2 /H ∞ performance in previous work is improved by introducing a slack variable. Fur...
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This paper designs a mixed H 2 /H ∞ model predictive algorithm for systems with energy-bounded disturbance. The formulation of H 2 /H ∞ performance in previous work is improved by introducing a slack variable. Furthermore, we decouple the formulation of H 2 /H ∞ performance from the formulation of input and state constraints by dilated LMI technique. These two aspects are combined to develop a less conservative control algorithm. Recursive feasibility of the algorithm is able to be proved and stability of the controlled system is ensured. Numerical example shows the effectiveness of the proposed algorithm.
On the basis of the introduction to basic methods of the geometry modeling based on virtual reality modeling language (VRML) and the concepts of Minkowski sum computation of polyhedra, we present a method of Minkowski...
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The convergence speed of multi-agent system is a focused issue in the consensus problem. The traditional consensus algorithm is generally discussed on the single-layer topology. The spectral partitioning algorithm of ...
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The convergence speed of multi-agent system is a focused issue in the consensus problem. The traditional consensus algorithm is generally discussed on the single-layer topology. The spectral partitioning algorithm of the complex network and NF algorithm was applied to the optimal decomposition problem of the multi-agent topology and a hierarchical consensus algorithm based on the community decomposition was proposed in this paper. By converting the single-layer consensus problem of the multi-agent system to multi-layer consensus problem, the convergence speed is effectively improved on the premise of maintaining the original topology constraints. The effectiveness of two types of algorithms is demonstrated by simulations compared with the classic model. Then the comparison between the spectral partitioning method and NF algorithm applied to the optimal decomposition problem is proposed.
To provide a safe and efficient test for the autonomous control design of the unmanned helicopter, a 3 degree-of-freedom (DOF) helicopter testbed is developed in this paper. The testbed uses a small electric hobby hel...
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To provide a safe and efficient test for the autonomous control design of the unmanned helicopter, a 3 degree-of-freedom (DOF) helicopter testbed is developed in this paper. The testbed uses a small electric hobby helicopter as the main body, a digital signal processsor (DSP) is employed as the on-board micro control unit (MCU) for the attitude control of the helicopter, a micro attitude and heading reference system (AHRS) is utilized as the main on-board sensor for attitude states feedback and a Bluetooth module is mounted on the testbed to provide realtime wireless communication between the helicopter and the ground control station (GCS). This paper investigates the servo actuators coordinated control method with separate channel of the new-style electric helicopter, which is named as electronic collective-cyclic pitch mixing (ECCPM). A modified digital incremental PID control algorithm which is free of servo actuators saturation issue is proposed for the attitude control of the helicopter. Finally, experiment results are provided to verify the testbed and control design.
In this paper, an autopilot system for the quadrotor unmanned aerial vehicle (UAV) is developed by utilizing a digital signal processor (DSP) as the on-board micro-control unit (MCU). The hardware setup and the softwa...
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In this paper, an autopilot system for the quadrotor unmanned aerial vehicle (UAV) is developed by utilizing a digital signal processor (DSP) as the on-board micro-control unit (MCU). The hardware setup and the software are also developed for the autonomous flight control of the UAV. The main design procedure includes the controller board design, brushless DC motor driver design, sensor data processing software design, and flight control algorithm design. The control algorithm is developed based on the inner loop and outer loop control method. Proportional Derivative (PD) controllers are proposed for the attitude dynamics (inner loop) and position dynamics (outer loop) respectively. Autonomous hovering control is achieved via the control of roll angle, pitch angle, yaw angle and altitude of the UAV. Experiments results are included to demonstrate the hovering control performance.
We study an opinion formation model with the coevolution of network structures and opinions. The links formed among the agents are based on the popularity of the nodes and the similarity of their opinions, and in retu...
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ISBN:
(纸本)9789881563835
We study an opinion formation model with the coevolution of network structures and opinions. The links formed among the agents are based on the popularity of the nodes and the similarity of their opinions, and in return, opinions change in response to the network structure. We find that the pursuit of popularity accelerates the convergence, while the pursuit of similarity slows down the convergence. In addition, the whole group convergence more quickly with a larger number of neighbors. We also investigate neighbor-preserving strategies, and find that maintaining a nonzero number of neighbors could lead to faster convergence.
作者：
Jianyu LinDepartment of Automation
Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China
The paper investigates the problem of the asymptotical stability and stabilization of uncertain large-scale fractional order interconnected *** the basis of the stability criterion of fractional order system,sufficien...
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ISBN:
(纸本)9781479900305
The paper investigates the problem of the asymptotical stability and stabilization of uncertain large-scale fractional order interconnected *** the basis of the stability criterion of fractional order system,sufficient conditions are firstly derived for the asymptotical stability of fractional order large-scale interconnected system with norm-bounded uncertainties. Then,sufficient conditions on robust stabilization of large-scale fractional order interconnected system with norm-bounded uncertainties are established based on a complex Lyapunov inequality described in the form of ***,decentralized stabilization state feedback controllers are *** example is used to illustrate the effectiveness of the proposed method.
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