13 citations · 68 across the 15 of their papers we have counts for
7 papers · 1 filter
Aircraft trajectory control with feedback linearization for general nonlinear system
Sheng Zhang, Fei Liao, Yanqing Chen +1
The feedback linearization method is further developed for the controller design on general nonlinear systems. Through the Lyapunov stability theory, the intractable nonlinear impl…
Optimal Control Computation via Evolution Partial Differential Equation with Arbitrary Definite Conditions
Sheng Zhang, En-Mi Yong, Wei-Qi Qian
The compact Variation Evolving Method (VEM) that originates from the continuous-time dynamics stability theory seeks the optimal solutions with variation evolution principle. It is…
Computation of time-optimal control problem with variation evolution principle
Sheng Zhang, Wei-Qi Qian
An effective form of the Variation Evolving Method (VEM), which originates from the continuous-time dynamics stability theory, is developed for the classic time-optimal control pro…
Variation Evolving for Optimal Control Computation, a Compact Way
Sheng Zhang, Jiang-Tao Huang, Kai-Feng He +1
A compact version of the variation evolving method (VEM) is developed in the primal variable space for optimal control computation. Following the idea that originates from the Lyap…
Dynamic backstepping control for pure-feedback nonlinear systems
Sheng Zhang, Wei-qi Qian
A dynamic backstepping method is proposed to design controllers for nonlinear systems in the pure-feedback form, for which the traditional backstepping method suffers from solving…
Robust Tracking Guidance for Zero Propellant Maneuver
Sheng Zhang, Qian Zhao, Hai-bing Huang +1
The Zero Propellant Maneuver (ZPM) maneuvers the space station by large angle, utilizing the Control Momentum Gyroscopes (CMGs) only. A robust tracking guidance strategy is propose…
A Variation Evolving Method for Optimal Control
Sheng Zhang, En-Mi Yong, Wei-Qi Qian +1
A new method for the optimal solutions is proposed. Originating from the continuous-time dynamics stability theory in the control field, the optimal solution is anticipated to be o…