Qinghe Wu
Beijing Institute of Technology
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Publication
Featured researches published by Qinghe Wu.
International Journal of Systems Science | 2015
Sabir Djaidja; Qinghe Wu
This paper proposes a leader-following consensus control for continuous-time single-integrator multi-agent systems with multiplicative measurement noises under directed fixed and switching topologies. The consensus controller is developed by combining the graph theory and stochastic tools. The control input for each agent relies on its own state and its neighbours’ states corrupted by noises, the noises are considered proportional to the relative distance between agents, both of the noisy case and the noise-free case are studied, and conditions to achieve mean square convergence under noisy measurement and asymptotic convergence in absence of noises are derived. Finally, in order to prove the validity of the consensus control, some simulations were carried out.
European Journal of Control | 2015
Sabir Djaidja; Qinghe Wu
Abstract Information exchange between agents in multi-agents systems is often inexact and delayed. This paper proposes a distributed leader-following consensus algorithm for continuous-time single-integrator multi-agent systems under measurement noises and time-delays in directed topologies. The information states received by an agent from its neighbors are delayed by uniform time-delays. In the meantime, they are corrupted by additive white noises. Based on graph theory and stochastic tools, conditions to ensure the tracking consensus in mean square for both directed fixed and switching topologies are derived. The effectiveness of the proposed algorithms is proved through some simulations.
Mathematical Problems in Engineering | 2014
Sabir Djaidja; Qinghe Wu
Consensus of continuous-time single-integrator multiagent systems with inherent nonlinear dynamics and measurement noises is addressed in this paper. The consensus controller is developed for directed interaction topologies. Each agent’s control input is constructed based on its own state and its neighbors’ states corrupted by noises. The control input contains a time-varying consensus gain in order to attenuate the noises. Conditions for ensuring mean square convergence under noisy measurement and asymptotic convergence in the noise-free case are derived. Finally, some simulations were carried out to show the effectiveness of our control law and how it can solve the consensus problem.
fuzzy systems and knowledge discovery | 2008
Xiaodong Zhang; Xiaolan Yao; Qinghe Wu; Daoping Li
Since generalized predictive control (GPC) has been introduced, it has been known as an effective tool for the control of many practical systems, but few literature about the application of generalized predictive control to the hydraulic automatic gauge control (HAGC) is concerned. Here, the generalized predictive control algorithm is employed to increases the thickness precision of strips, by decreasing the disadvantage effects of the roll eccentricity, and to improves the dynamic behavior of the hydraulic automatic gauge control. Simulation results demonstrate the feasibility and the excellent performance of the GPC algorithm.
Journal of The Franklin Institute-engineering and Applied Mathematics | 2018
Zhuoyue Song; Chao Duan; Jianan Wang; Qinghe Wu
Abstract This paper investigates a quaternion-based finite-time cooperative attitude synchronization and tracking of multiple rigid spacecraft with a virtual leader subject to bounded external disturbances. Firstly, the communication network between followers is assumed to be an undirected graph and every follower can get a direct access to the virtual leader, by using two neighborhood attitude error signals, a novel chattering-free recursive full-order sliding mode control algorithm is proposed such that all follower spacecraft synchronize to the virtual leader in finite time. In the proposed algorithm, the sliding mode surface is constructed by two layers of sliding mode surfaces, which are called as the outer and the inner sliding mode surfaces. To achieve finite-time performance of sliding mode dynamics, the outer sliding mode surface is designed as a terminal sliding mode manifold, and the inner one is designed as a fast nonsingular terminal sliding mode manifold, respectively. Then, to reduce the heavy communication burden, a distributed recursive full-order sliding mode control law is designed by introducing a distributed finite-time sliding mode estimator such that only a subset of the group members has access to the virtual leader. Finally, a numerical example is illustrated to demonstrate the validity of the proposed results.
International Journal of Systems Science | 2016
Sabir Djaidja; Qinghe Wu
This paper studies the consensus problem of continuous-time single-integrator multi-agent systems with measurement noises and time delays under directed fixed topologies. Each agent in the team receives imprecise and delayed information from its neighbours. The noises are considered white noises, and time delays are assumed to be uniform for all the received information states. An analysis framework based on graph theory and stochastic tools is followed to derive conditions under which the asymptotic unbiased mean square linear χ-consensus is achieved in directed fixed topologies having a spanning tree. Then, conditions to achieve asymptotic unbiased mean square average consensus are deduced for fixed balanced digraphs having a spanning tree. The effectiveness of the proposed algorithms is proved through some simulations.
international conference on control, automation, robotics and vision | 2010
Daoping Li; Xiaolan Yao; Qinghe Wu; Xiaodong Zhang
The periodic stable robustness of serial production line with single processing parameter is analyzed based on maxalgebra. A searching algorithm based on golden section method to calculate the bound of perturbation of processing parameter is also proposed. Example shows that the algorithm can get the bound of the perturbation effectively, which is meaningful to actual serial production line.
International Journal of Control Automation and Systems | 2016
Sabir Djaidja; Qinghe Wu
chinese control conference | 2012
Qiong Hu; Qing Fei; Qinghe Wu; Qingbo Geng
chinese control conference | 2013
Djaidja Sabir; Qinghe Wu