976 citations · 2.8k across the 41 of their papers we have counts for
46 papers
Distributionally Robust Frequency Response Estimation Using Non-Steady-State Frequency-Domain Data
Stefan Damjanovic, John W. Simpson-Porco, Klaske van Heusden
This paper develops a distributionally robust optimization (DRO) framework for identifying the frequency response function (FRF) of an unknown linear time-invariant system from rep…
Frequency Nadir-Constrained Power System Restoration Planning with Energy Storage
Xiangyu Zou, Amir Reza Nikzad, Ilyas Farhat +1
Power system restoration following blackouts must ensure frequency stability throughout the recovery process. This paper proposes a frequency-constrained mixed-integer linear progr…
A Lyapunov Characterization of Robust D-Stability with Application to Decentralized Integral Control of LTI Systems
John-Paolo Casasanta, John W. Simpson-Porco
The concept of matrix D-stability plays an important role in applications, ranging from economic and biological system models to decentralized control. Here we provide necessary an…
Removing Time-Scale Separation in Feedback-Based Optimization via Estimators
Niloufar Yousefi, John W. Simpson-Porco
Feedback-based optimization (FBO) provides a simple control framework for regulating a stable dynamical system to the solution of a constrained optimization problem in the presence…
Distributionally Robust Stochastic Data-Driven Predictive Control with Optimized Feedback Gain
Ruiqi Li, John W. Simpson-Porco, Stephen L. Smith
We consider the problem of direct data-driven predictive control for unknown stochastic linear time-invariant (LTI) systems with partial state observation. Building upon our previo…
Data-driven harmonic output regulation of a class of nonlinear systems
Zhongjie Hu, Claudio De Persis, John W. Simpson-Porco +1
The paper deals with the data-based design of state-feedback controllers that solve the output regulation problem for a class of nonlinear systems. Inspired by recent developments…
Steady-State Cascade Operators and their Role in Linear Control, Estimation, and Model Reduction Problems
John W. Simpson-Porco, Daniele Astolfi, Giordano Scarciotti
Certain linear matrix operators arise naturally in systems analysis and design problems involving cascade interconnections of linear time-invariant systems, including problems of s…
A Multi-Area Architecture for Real-Time Feedback-Based Optimization of Distribution Grids
Ilyas Farhat, Etinosa Ekomwenrenren, John W. Simpson-Porco +3
A challenge in transmission-distribution coordination is how to quickly and reliably coordinate Distributed Energy Resources (DERs) across large multi-stakeholder Distribution Netw…
Stochastic Data-Driven Predictive Control with Equivalence to Stochastic MPC
Ruiqi Li, John W. Simpson-Porco, Stephen L. Smith
We propose a data-driven receding-horizon control method dealing with the chance-constrained output-tracking problem of unknown stochastic linear time-invariant (LTI) systems with…
Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework
Tianqi Zheng, John W. Simpson-Porco, Enrique Mallada
Motion planning and control are two core components of the robotic autonomy stack. The standard way to combine them uses an offline/open-loop stage, planning, which designs a feasi…
Automated Lyapunov Analysis of Primal-Dual Optimization Algorithms: An Interpolation Approach
Bryan Van Scoy, John W. Simpson-Porco, Laurent Lessard
Primal-dual algorithms are frequently used for iteratively solving large-scale convex optimization problems. The analysis of such algorithms is usually done on a case-by-case basis…
Data-Driven Fast Frequency Control using Inverter-Based Resources
Etinosa Ekomwenrenren, John W. Simpson-Porco, Evangelos Farantatos +3
To address the control challenges associated with the increasing share of inverter-connected renewable energy resources, this paper proposes a direct data-driven approach for fast…
Data-Driven Output Regulation using Single-Gain Tuning Regulators
Liangjie Chen, John W. Simpson-Porco
Current approaches to data-driven control are geared towards optimal performance, and often integrate aspects of machine learning and large-scale convex optimization, leading to co…
Distributed Optimization for Reactive Power Sharing and Stability of Inverter-Based Resources Under Voltage Limits
Babak Abdolmaleki, John W. Simpson-Porco, Gilbert Bergna-Diaz
Reactive power sharing and containment of voltages within limits for inverter-based resources (IBRs) are two important, yet coupled objectives in ac networks. In this article, we p…
A Fixed-Point Algorithm for the AC Power Flow Problem
Liangjie Chen, John W. Simpson-Porco
This paper presents an algorithm that solves the AC power flow problem for balanced, three-phase transmission systems at steady state. The algorithm extends the "fixed-point power…
Low-Gain Stabilizers for Linear-Convex Optimal Steady-State Control
John W. Simpson-Porco
We consider the problem of designing a feedback controller which robustly regulates an LTI system to an optimal operating point in the presence of unmeasured disturbances. A genera…
Data-Driven Fast Frequency Control using Inverter-Based Resources
Etinosa Ekomwenrenren, John Simpson-Porco, Evangelos Farantatos +3
We develop and test a data-driven and area-based fast frequency control scheme, which rapidly redispatches inverter-based resources to compensate for local power imbalances within…
Data-Driven Model Predictive Control for Linear Time-Periodic Systems
Ruiqi Li, John W. Simpson-Porco, Stephen L. Smith
We consider the problem of data-driven predictive control for an unknown discrete-time linear time-periodic (LTP) system of known period. Our proposed strategy generalizes both Dat…
Diagonal Stability of Systems with Rank-1 Interconnections and Application to Automatic Generation Control in Power Systems
John W. Simpson-Porco, Nima Monshizadeh
We study a class of matrices with a rank-1 interconnection structure, and derive a simple necessary and sufficient condition for diagonal stability. The underlying Lyapunov functio…
Low-Gain Stability of Projected Integral Control for Input-Constrained Discrete-Time Nonlinear Systems
John W. Simpson-Porco
We consider the problem of zeroing an error output of a nonlinear discrete-time system in the presence of constant exogenous disturbances, subject to hard convex constraints on the…
A Dynamic Stability and Performance Analysis of Automatic Generation Control
John W. Simpson-Porco
Automatic generation control (AGC) is one of the most important coordinated control systems present in modern interconnected power systems. Despite being heavily studied, no interc…
On Stability of Distributed-Averaging Proportional-Integral Frequency Control in Power Systems
John W. Simpson-Porco
Distributed consensus-based controllers for optimal secondary frequency regulation of microgrids and power systems have received substantial attention in recent years. This paper p…
Analysis and Synthesis of Low-Gain Integral Controllers for Nonlinear Systems
John W. Simpson-Porco
Relaxed conditions are given for stability of a feedback system consisting of an exponentially stable multi-input multi-output nonlinear plant and an integral controller. Roughly s…
Implicit Trajectory Planning for Feedback Linearizable Systems: A Time-varying Optimization Approach
Tianqi Zheng, John Simpson-Porco, Enrique Mallada
We develop an optimization-based framework for joint real-time trajectory planning and feedback control of feedback-linearizable systems. To achieve this goal, we define a target t…