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Y Stability and performance verification of optimization-based controllers
Related publications (56)
A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization
The objective of this dissertation is to develop data-driven frequency-domain methods for designing robust controllers through the use of convex optimization algorithms. Many of today's industrial processes are becoming more complex, and modeling accurate ...
EPFL2018Frequency-Domain Control Design in Power Systems
The scope of this thesis encompasses two main subjects: fixed-structure data-driven control design on one side, and control design in power systems on the other. The overall goal is to identify challenging and relevant problems in power systems, to express ...
EPFL2018Robust Distributed Control Beyond Quadratic Invariance
Maryam Kamgarpour, Luca Furieri
The problem of robust distributed control arises in several large-scale systems, such as transportation networks and power grid systems. In many practical scenarios controllers might not have enough information to make globally optimal decisions in a tract ...
IEEE2018Technical Report: Control of Nonlinear Systems with Explicit-MPC-like Controllers
Colin Neil Jones, Milan Korda, Ivan Pejcic
This paper describes synthesis of controllers involving Quadratic Programming (QP) optimization problems for control of nonlinear systems. The QP structure allows an implementation of the controller as a piecewise affine function, pre-computed offline, whi ...
2017Predictive Control of Buildings for Demand Response and Ancillary Services Provision
This thesis develops optimization based techniques for the control of building heating, ventilation, and air-conditioning (HVAC) systems for the provision of demand response and ancillary services to the electric grid. The first part of the thesis focuses ...
EPFL2017A Data-driven Approach to Robust Control of Multivariable Systems by Convex Optimization
Alireza Karimi, Christoph Manuel Kammer
The frequency-domain data of a multivariable system in different operating points is used to design a robust controller with respect to the measurement noise and multimodel uncertainty. The controller is fully parametrized in terms of matrix polynomial fun ...
2017Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch
Dominique Bonvin, René Uwe Schneider, Predrag Milosavljevic
The desire to operate chemical processes in a safe and economically optimal way has motivated the development of so-called real-time optimization (RTO) methods [1]. For continuous processes, these methods aim to compute safe and optimal steady-state set ...
2016Splitting Methods for Distributed Optimization and Control
This thesis contributes towards the design and analysis of fast and distributed optimization algorithms based on splitting techniques, such as proximal gradient methods or alternation minimization algorithms, with the application of solving model predictiv ...
EPFL2016Robust Distributed Averaging Frequency Control of Inverter-Based Microgrids
Alireza Karimi, Christoph Manuel Kammer
We consider the problem of distributed primary and secondary frequency control in inverter-based microgrids with meshed topology. A dynamic phasor modeling approach is presented that accurately represents the dynamics of the grid while being suitably simpl ...
IEEE2016A Parametric Nonconvex Decomposition Algorithm for Real-Time and Distributed NMPC
Colin Neil Jones, Jean-Hubert Hours
A novel decomposition scheme to solve parametric nonconvex programs as they arise in Nonlinear Model Predictive Control (NMPC) is presented. It consists of a fixed number of alternating proximal gradient steps and a dual update per time step. Hence, the pr ...
2016