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Hai Zhao - IEEE Xplore Author Profile

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In this paper, a framework integrating planning and control is designed to deal with the parallel parking problem of autonomous vehicle. In the planning section, efficient planning is achieved by directly setting target points. In the control part, it is mainly based on nonlinear model predictive control (NMPC) scheme for implementation. Firstly, the parking task is divided into four stages by set...Show More
In this paper, terminal constraint-free model predictive control (MPC) is established to track a reference signal for a max-plus linear system. Due to unconvex characteristics of max-plus linear systems, the existence of terminal constraints severely increases the difficulty in solving the optimal control problems. A weighted objective function is designed to make terminal states reach a positivel...Show More
In this paper, a model predictive control (MPC) strategy is developed to realize collision avoidance with dynamic obstacle vehicles for an autonomous vehicle. A novel collision constraint based on road width and vehicle shape is proposed to ensure a safe distance between the autonomous vehicle and an obstacle vehicle. A smooth path is guaranteed in collision avoidance by the adaptive artificial po...Show More
In this article, tube-based model predictive control (MPC) is investigated for a linear parameter-varying (LPV) system with external disturbances. The LPV system comes from an autonomous vehicle with external disturbances and scheduling parameters in trajectory tracking. An interval predictor is designed for state constraints under external disturbances and scheduling parameters. With a robust con...Show More
In this article, switched model predictive control (MPC) is proposed for nonholonomic mobile robots with adaptive dwell time and a dual-terminal set. The dual-terminal set is used to reduce on-line complexity of the switched MPC for the nonholonomic mobile robots with multiple constraints. By a switched signal with the adaptive dwell time, cost functions are switched to improve control performance...Show More
In this article, multitype bend tracking with discontinuous reference paths is researched by a nonlinear terminal-free model predictive control (MPC) with an artificial reference path for an autonomous vehicle. The MPC strategy without terminal penalty and terminal state constraints is proposed to deal with the discontinuous reference paths, which improves solvability on an optimization problem ef...Show More
This article develops an event-triggered model-predictive control (EMPC) strategy to realize trajectory tracking and obstacle avoidance for a wheeled mobile robot (WMR) subject to input constraints and external disturbances. In the EMPC strategy, a potential field is introduced in the cost function to guarantee a smooth path for the WMR. An event-triggered mechanism is designed to reduce the compu...Show More
In this article, a distributed stochastic model predictive control (MPC) algorithm with a multirate sampling mechanism is proposed for a networked linear system with multiple dynamic subsystems. A delta operator approach is used for the multiple dynamic subsystems with different sampling periods in the multirate sampling mechanism. Both stochastic disturbances and probabilistic constraints of the ...Show More
In this paper, an autonomous ground vehicle (AGV) motion system is developed considering full-state constraints by a Barrier Lyapunov functions (BLF) based finite-time motion control scheme. A BLF-based finite-time lateral controller is designed for the lateral subsystem in the AGV motion system with full-state constraints. A BLF-based finite-time longitudinal controller is proposed to limit the c...Show More
This paper investigates the trajectory tracking control problem of wheeled mobile robot under wireless network communication. A nonlinear kinematics model is used for the wheeled mobile robot because of that obstacle avoidance on horizontal road surfaces is usually considered for trajectory tracking control. Packets dropout occurs in the wireless network communication due to network congestion, co...Show More
In this paper, event-triggered active model predictive control is investigated for a nonlinear multiagent system (MAS) with packet losses. By designing event-triggered mechanisms which reduce sensing cost, event-triggered conditions are detected at certain sampling instants. The prediction horizons of all agents are selected actively through the event-triggered mechanisms. Selecting a maximal pred...Show More
In this paper, a distributed model predictive control algorithm is proposed to realize output control of multi-caused systems. For possible transmission data loss between multi-caused systems, real-time prediction function of model prediction control is skillfully used to deal with the problem of coupling data transmission loss between multi-caused systems by considering coupling information trans...Show More