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Yuning Jiang

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Related publications (47)

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CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints

Colin Neil Jones, Yuning Jiang, Wenjie Xu

In this paper, the CONFIG algorithm, a simple and provably efficient constrained global optimization algorithm, is applied to optimize the closed-loop control performance of an unknown system with unmodeled constraints. Existing Gaussian process based clos ...

Elsevier2023

PIQP: A Proximal Interior-Point Quadratic Programming Solver

Colin Neil Jones, Daniel Kuhn, Yuning Jiang, Roland Schwan

This paper presents PIQP, a high-performance toolkit for solving generic sparse quadratic programs (QP). Combining an infeasible Interior Point Method (IPM) with the Proximal Method of Multipliers (PMM), the algorithm can handle ill-conditioned convex QP p ...

IEEE2023

A Time Splitting Based Real-Time Iteration Scheme for Nonlinear MPC

Colin Neil Jones, Yuning Jiang

This paper proposes a parallelizable real-time algorithm for model predictive control (MPC). In contrast to existing distributed and parallel optimization algorithms for linear MPC such as dual decomposition or the alternating direction method of multiplie ...

IEEE2019

Rapid Scalable Distributed Power Flow with Open-Source Implementation

Yuning Jiang

This paper introduces a new method for solving the distributed AC power flow (PF) problem by further exploiting the problem formulation. We propose a new variant of the ALADIN algorithm devised specifically for this type of problem. This new variant is cha ...

ELSEVIER2022

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Smart home appliances can time-shift and curtail their power demand to assist demand side management or allow operation with limited power, as in an off-grid application. This letter proposes a scheduling process to start appliances with time-varying deter ...

2022

Data-driven distributionally robust joint chance-constrained energy management for multi-energy microgrid

Colin Neil Jones, Yuning Jiang

Multi-energy microgrid (MEMG) has the potential to improve the energy utilization efficiency. However, the uncertainty caused by distributed renewable energy resources brings an urgent need for multi-energy co -optimization to ensure secure operation. This ...

2022

Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, datadriven predictive control techniques allow for CAV safe and optimal control with ...

Pergamon-Elsevier Science Ltd2023

Distributed AC Optimal Power Flow Using ALADIN

Timm Faulwasser, Yuning Jiang

2017

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

Wei Chen, Yuning Jiang, Xin Liu

With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV charging control strategies have been developed to manage the switch between vehicle-to-grid (V2G) and gr ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Safe Zeroth-Order Optimization Using Linear Programs

Giancarlo Ferrari Trecate, Yuning Jiang, Maryam Kamgarpour, Baiwei Guo

To solve unmodeled optimization problems with hard constraints, this paper proposes a novel zeroth-order approach called Safe Zeroth-order Optimization using Linear Programs (SZO-LP). The SZO-LP method solves a linear program in each iteration to find a de ...

New York2023

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Nonlinear model predictive control (NMPC) has been widely adopted to manipulate bilinear systems with dynamics that include products of the inputs and the states. These systems are ubiquitous in chemical processes, mechanical systems, and quantum physics, ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Coordinating Active Distribution Networks with Multi-Microgrids: An ADMM-based Decentralized Adjustable Robust Operation Model

Yuning Jiang

This paper proposes a decentralized adjustable robust operation model achieving the coordinated operation between an active distribution network (ADN) and microgrids (MGs). Thanks to the autonomous characteristic and heterogeneity of the individual agents ...

IEEE2022

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints

Colin Neil Jones, Yuning Jiang, Wenjie Xu

This paper studies the problem of online performance optimization of constrained closed-loop control systems, where both the objective and the constraints are unknown black-box functions affected by exogenous time-varying contextual disturbances. A primal- ...

IEEE2023

Over-the-Air Federated Learning via Second-Order Optimization

Colin Neil Jones, Yuning Jiang

Federated learning (FL) is a promising learning paradigm that can tackle the increasingly prominent isolated data islands problem while keeping users' data locally with privacy and security guarantees. However, FL could result in task-oriented data traffic ...

2022

Block BFGS Based Distributed Optimization for NMPC Using PolyMPC

Yuning Jiang, Petr Listov

This paper presents a block BFGS based distributed optimization approach for nonlinear model predictive control (NMPC). The proposed method is a variant of the augmented Lagrangian based alternating direction inexact Newton method (ALADIN), which achieves ...

2021

Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization

Colin Neil Jones, Yuning Jiang, Wenjie Xu

Efficient global optimization is a widely used method for optimizing expensive black-box functions. In this paper, we study the worst-case oracle complexity of the efficient global optimization problem. In contrast to existing kernel-specific results, we d ...

2024

Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization

Colin Neil Jones, Yuning Jiang

This paper explores the impact of the burgeoning electric vehicle (EV) presence on distribution grid operations, highlighting the challenges they present to conventional pricing strategies due to their dual role as power consumers and suppliers, coupled wi ...

IEEE2024

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

In many applications, resource-aware devices are connected through a network, such as in the Internet of Things and energy hubs. These devices require proper coordination to achieve a high performance without violation of their resource limits. In this pap ...

IEEE2020

Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method

Colin Neil Jones, Yuning Jiang

Federated learning (FL) is an emerging technique that enables privacy-preserving distributed learning. Most related works focus on centralized FL, which leverages the coordination of a parameter server to implement local model aggregation. However, this sc ...

2024

Real-time coordination of integrated transmission and distribution systems: Flexibility modeling and distributed NMPC scheduling

Colin Neil Jones, Yuning Jiang

This paper proposes a real-time distributed operational architecture to coordinate integrated transmission and distribution systems (ITD). At the distribution system level, the distribution system operator (DSO) calculates the aggregated flexibility of all ...

Elsevier2024