38 citations · 86 across the 30 of their papers we have counts for
19 papers · 1 filter
Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems
Mingxue Yan, Xuewen Zhang, Kaixiang Zhang +2
In this article, we propose a data-enabled economic predictive control method for a class of nonlinear systems, which aims to optimize the economic operational performance while ha…
Distributed Platoon Control Under Quantization: Stability Analysis and Privacy Preservation
Kaixiang Zhang, Zhaojian Li, Wei Lin
Distributed control of connected and automated vehicles has attracted considerable interest for its potential to improve traffic efficiency and safety. However, such control scheme…
Economic data-enabled predictive control using machine learning
Mingxue Yan, Xuewen Zhang, Kaixiang Zhang +2
In this paper, we propose a convex data-based economic predictive control method within the framework of data-enabled predictive control (DeePC). Specifically, we use a neural netw…
Safe Data-Driven Predictive Control
Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang +3
In the realm of control systems, model predictive control (MPC) has exhibited remarkable potential; however, its reliance on accurate models and substantial computational resources…
Model-free Vehicle Rollover Prevention: A Data-driven Predictive Control Approach
Mohammad R. Hajidavalloo, Kaixiang Zhang, Vaibhav Srivastava +1
Vehicle rollovers pose a significant safety risk and account for a disproportionately high number of fatalities in road accidents. This paper addresses the challenge of rollover pr…
Data-Enabled Predictive Control for Flexible Spacecraft
Huanqing Wang, Kaixiang Zhang, Amin Vahidi-Moghaddam +4
Spacecraft are vital to space exploration and are often equipped with lightweight, flexible appendages to meet strict weight constraints. These appendages pose significant challeng…
Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning
Xuewen Zhang, Kaixiang Zhang, Zhaojian Li +1
Data-enabled predictive control (DeePC) is a data-driven control algorithm that utilizes data matrices to form a non-parametric representation of the underlying system, predicting…
Online Reduced-Order Data-Enabled Predictive Control
Amin Vahidi-Moghaddam, Kaixiang Zhang, Xunyuan Yin +2
Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit system models. T…
Differentially-Private Distributed Model Predictive Control of Linear Discrete-Time Systems with Global Constraints
Kaixiang Zhang, Yongqiang Wang, Ziyou Song +1
Distributed model predictive control (DMPC) has attracted extensive attention as it can explicitly handle system constraints and achieve optimal control in a decentralized manner.…
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control
Dong Chen, Kaixiang Zhang, Yongqiang Wang +3
Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs…
A Unified Framework for Online Data-Driven Predictive Control with Robust Safety Guarantees
Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang +3
Despite great successes, model predictive control (MPC) relies on an accurate dynamical model and requires high onboard computational power, impeding its wider adoption in engineer…
Extended Neighboring Extremal Optimal Control with State and Preview Perturbations
Amin Vahidi-Moghaddam, Kaixiang Zhang, Zhaojian Li +3
Optimal control schemes have achieved remarkable performance in numerous engineering applications. However, they typically require high computational cost, which has limited their…
Physics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors
Dongjun Li, Kaixiang Zhang, Haoxuan Dong +3
Data-driven cooperative control of connected and automated vehicles (CAVs) has gained extensive research interest as it can utilize collected data to generate control actions witho…
Dimension Reduction for Efficient Data-Enabled Predictive Control
Kaixiang Zhang, Yang Zheng, Chao Shang +1
In this letter, we propose a simple yet effective singular value decomposition (SVD) based strategy to reduce the optimization problem dimension in data-enabled predictive control…
Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling
Kaixiang Zhang, Kaian Chen, Xinfan Lin +5
Fast charging of lithium-ion batteries has gained extensive research interests, but most of existing methods are either based on simple rule-based charging profiles or require expl…
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic
Kaixiang Zhang, Kaian Chen, Zhaojian Li +2
Data-driven predictive control of connected and automated vehicles (CAVs) has received increasing attention as it can achieve safe and optimal control without relying on explicit d…
Privacy-Preserving Nonlinear Cloud-based Model Predictive Control via Affine Masking
Kaixiang Zhang, Zhaojian Li, Yongqiang Wang +1
With the advent of 5G technology that presents enhanced communication reliability and ultra low latency, there is renewed interest in employing cloud computing to perform high perf…
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks
Nan Li, Kaixiang Zhang, Zhaojian Li +2
Cloud computing creates new possibilities for control applications by offering powerful computation and storage capabilities. In this paper, we propose a novel cloud-assisted model…
Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control
Kaixiang Zhang, Zhaojian Li, Yongqiang Wang +2
Dynamic average consensus is a decentralized control/estimation framework where a group of agents cooperatively track the average of local time-varying reference signals. In this p…