7 papers
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…
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…
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…
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…
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…
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…