scispace - formally typeset
Z

Zhengchao Xie

Researcher at South China University of Technology

Publications -  66
Citations -  1061

Zhengchao Xie is an academic researcher from South China University of Technology. The author has contributed to research in topics: Active suspension & Fuzzy logic. The author has an hindex of 15, co-authored 51 publications receiving 642 citations. Previous affiliations of Zhengchao Xie include University of Macau.

Papers
More filters
Journal ArticleDOI

Chassis Integrated Control for Active Suspension, Active Front Steering and Direct Yaw Moment Systems Using Hierarchical Strategy

TL;DR: In this article, a three-layer hierarchical structure is proposed to coordinate the interactions among active suspension system (ASS), active front steering (AFS), and direct yaw moment control (DYC).
Journal ArticleDOI

Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy

TL;DR: Simulation results show that the proposed T-S fuzzy based SMC strategy, which considers the nonlinearity of the tire and multi-objective control, is able to improve the cornering stability of the vehicle as compared with the conventionalSMC strategy.
Journal ArticleDOI

Real-time weighted multi-objective model predictive controller for adaptive cruise control systems

TL;DR: In this paper, a real-time weighted MPC (RW-MPC) is proposed to solve time-varying multi-objective control problems, where the weight of each objective can be adjusted with respect to different operating conditions.
Journal ArticleDOI

Adaptive-Event-Trigger-Based Fuzzy Nonlinear Lateral Dynamic Control for Autonomous Electric Vehicles Under Insecure Communication Networks

TL;DR: Simulation results show the proposed adaptive-event-trigger-based fuzzy nonlinear lateral dynamic control algorithm for autonomous electric vehicles under insecure communication networks not only can save communication resource, but also achieve the perfect control performance.
Journal ArticleDOI

Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs

TL;DR: In this paper, support vector machine (SVM) was used to predict phytoplankton abundance in Macau Storage Reservoir (MSR) in which the water parameters of pH, SiO2, alkalinity, bicarbonate, dissolved oxygen (DO), total nitrogen (TN), UV254, turbidity, conductivity, nitrate, total nitrogen(TN), orthophosphate, total phosphorus (TP), suspended solid (SS) and total organic carbon (TOC) selected from the correlation analysis of the 23 monthly water variables were included