Z
Zhenyue Jia
Researcher at Beijing Institute of Technology
Publications - 12
Citations - 468
Zhenyue Jia is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Backstepping & Nonlinear system. The author has an hindex of 8, co-authored 12 publications receiving 317 citations.
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Journal ArticleDOI
Integral backstepping sliding mode control for quadrotor helicopter under external uncertain disturbances
TL;DR: Considering the underactuated and strongly coupled characteristics of quadrotor helicopter, a nonlinear control method by using integral backstepping combined with the sliding mode control (integral BS-SMC) was proposed in this paper.
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Cooperative multiple task assignment problem with stochastic velocities and time windows for heterogeneous unmanned aerial vehicles using a genetic algorithm
TL;DR: A novel meta-heuristic based on a modified genetic algorithm is proposed to improve the solution of this stochastic task assignment problem and the effect of the proposed algorithm, both on searching capability and convergence speed, is demonstrated by comparison with the random search algorithm.
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Adaptive robust consensus tracking for nonlinear second‐order multi‐agent systems with heterogeneous uncertainties
TL;DR: This paper addresses the consensus tracking problem for a class of heterogeneous nonlinear second-order multi-agent systems with parametric uncertainties, unmodeled dynamics, and bounded external disturbances with two distributed adaptive robust consensus tracking control protocols with dynamic and fixed coupling gains.
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Distributed adaptive neural networks leader-following formation control for quadrotors with directed switching topologies.
TL;DR: This work proposes a novel distributed output feedback formation control protocol with the backstepping method combining with the dynamic surface control technique, and proves that all signals in the closed-loop formation system are proven to be cooperatively semiglobally uniformly ultimately bounded for any given bounded initial conditions.
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Trajectory optimization of multiple quad-rotor UAVs in collaborative assembling task
TL;DR: A hierarchic optimization strategy based on the offline path planning process and online trajectory planning process is presented to solve the trajectory optimization problem of multiple quad-rotor unmanned aerial vehicles in the collaborative assembling task.