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According to the laid problem of photovoltaic cells, first of all, we need to divide the wall which laid photovoltaic cells into pieces to lay more photovoltaic cells; Secondly, to make total electricity generation maximize and unit electricity generation cost as little as we can, we established the 0–1 multi-objective programming model; Thirdly, aiming at lowest cost, the inverter configuration optimization...
Speeding of E-commerce and Internet nowadays promote development, reform and recombination of logistics industry. More and more professionals focus here and approve concept of 4PL, which is the integrator of logistics industry, owns obvious advantages, and can play a role in today's highly competitive condition. In this paper, a multi-objective and multi-task routing problem of 4PL is considered,...
In this paper, a novel improved multiobjective particle swarm optimization (IMOPSO) is proposed for solving the optimal reactive power dispatch (ORPD) problem with multiple and competing objectives. In order to improve the global search capability and the nondominated solutions diversity, time variant parameters, mutation operator, and dynamic crowding distance are incorporated into the MOPSO algorithm...
The geometric properties and optimality conditions for a class of typical model of linear bilevel programming with multiple followers are discussed in this paper. Under the assumption that the constrained set is nonempty and bounded, we study the geometric properties of the feasible set and reach the conclusion of the feasible set of weak quasi-convex and connected set. An optimum condition is obtained...
For the 2-order auto-regressive process with unknown parameters, further analysis of the effect of the estimation of parameters to the performance of control charts are provided. The influence of the process parameter to the performance of control charts is obvious and the time series process needs to be estimated, so the impact of parameters' valuation is necessary to be analyzed. Some conclusions...
As one of the typical examples of Swarm Intelligence Algorithm, POS has been applied successfully in many fields. But it cannot guarantee a globally optimal solution. To improve that, researchers use related theories in quantum mechanics combined with the basic convergence of particle swarm and put forward a new model of PSO as Quantum-behaved PSO. The new algorithm is convenient for appliance and...
Electrification of the transportation sector is gradually becoming a global trend due to the environmental benefits of electric vehicles (EV), which not only helps to reduce greenhouse gas emissions, but also helps to reduce the burden of fossil fuel resources need. In order to analyze and evaluate the performance of different EV charging station location schemes, a pre-built AnyLogic Urban Dynamics...
Coverage and control problems of diffusion process using multiple mobile sensors and actuators have been considered in this paper. Algorithms for task allocation and obstacle avoidance have been considered for the mobile robots in this paper. The powerful tool of Centroidal Voronoi Tessellations (CVT) has been introduced in the partition of the workspace so that the robots can detect and detoxify...
The paper studies the problem of finite time formation control for multiple vehicles. The vehicle is modeled as the full actuated rigid body, both the formation time and the geometric structure of the formation are specified by the task. An open optimal control law is derived by using Pontryagins minimum principle, and is converted to the closed form by feeding the current state back under the assumption...
In this paper, the formation tracking problem of multi-agent system via impulsive control approach is investigated, where each agent can be modeled as an identical nonlinear oscillator. The impulsive control approach is firstly applied to the study of formation tracking problem in the multi-agent system. The objective of the formation tracking problem is to design the formation tracking protocol such...
For a class of linear discrete-time systems, a feedback feed-forward iterative learning control (ILC) scheme is proposed, which can guarantee the system is monotonically convergent along the iteration direction and is Bounded-Input Bounded-Output (BIBO) stable along the time direction. First, the feedback feed-forward iterative learning system is presented by a two-dimensional (2-D) Roesser model...
This paper considers the finite-time control design for the nonholonomic mobile robots to construct leader-following formation. In the formation, only the pose of the leader robot can be obtained by the follower. Firstly, the leader-following formation is transformed into a special trajectory tracking problem and a finite-time observer is designed to estimate the leader's dynamics. Then, neural network-based...
When solving complex function optimization problem, Differential evolution(DE) algorithms may suffer from low convergence rate. In this paper, we propose an improved differential evolution algorithm named n-IDE. Our algorithm uses Gaussian sequence to dynamically generate zoom factors and applies an improved hybrid mutation strategy to individuals in order to improve the overall performance. We compare...
This paper considers the second-order consensus problem of discrete-time multi-agent systems over fixed and undirected network topologies. A distributed consensus protocol utilizing the current and one-step delayed position information is proposed. It is interesting to found that second-order consensus in such a discrete-time multi-agent system cannot be ensured without any one-step delayed position...
In this paper, dynamic role assignment and collision avoidance based on consensus tracking algorithm are investigated for systems with complete communication graph. First, based on the traditional consensus protocol, consensus-based control algorithm with dynamic role assignment is proposed. To make each agent reach the closest formation point, we give an efficient assignment solution by solving an...
A novel image based visual servoing (IBVS) method under the predictive control frame is proposed in order to solve the visual tracking problem of robot manipulator with multiple constraints. A vision predictive frame is presented by employing the motion model between camera's velocity and image features. And the design step of vision predictive controller is presented. Then, an effective vision predictive...
Clustering is such an algorithm which merges the most similar pair of samples into the same classification at every iteration. The traditional similarity evaluation function is manually designed, but the recent interest focuses on supervised or semi-supervised learning where the ground-truth clustered data can be available for training. This paper will first describes how to train a similarity function...
This paper studies the synchronization problem of multi-agent systems with nonlinear dynamics in mean square. It is supposed that the measurement of relative-state is disturbed. For the nonlinear multi-agent systems, we show that the conventional consensus protocols are robust against the measurement noises which are dependent to the relative-state. Simulations are provided to demonstrate the theoretical...
Based on Lyapunov stability theory, a holistic analysis approach is proposed for self-excited induction generator under no-load in the stationary reference frame with the transient mathematic model. Through analysis for initial transient states, a sufficient condition is fixed to be the limit cycle. The analytic formulas of the stator frequency, critical excitation capacitance and critical rotor speed...
Island operation of a fraction of power distribution network with distributed generators (DGs) is considered an efficient operational paradigm to enhance the security of power supply. This paper attempts to address the issue of island partitioning in distribution network with the penetration of small-scale DGs and present a two-stage algorithmic solution. In the suggested solution, the CSP-based method...
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