The scenario approach for systems and control design
The 'scenario approach'is an innovative technology that has been introduced to solve
convex optimization problems with an infinite number of constraints, a class of problems …
convex optimization problems with an infinite number of constraints, a class of problems …
The scenario approach to robust control design
This paper proposes a new probabilistic solution framework for robust control analysis and
synthesis problems that can be expressed in the form of minimization of a linear objective …
synthesis problems that can be expressed in the form of minimization of a linear objective …
[ΒΙΒΛΙΟ][B] The Control Handbook (three volume set)
WS Levine - 2018 - taylorfrancis.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …
engineers working with modern control systems required. Among its many accolades, that …
[ΒΙΒΛΙΟ][B] Randomized algorithms for analysis and control of uncertain systems: with applications
The presence of uncertainty in a system description has always been a critical issue in
control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain …
control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain …
A sampling-and-discarding approach to chance-constrained optimization: feasibility and optimality
In this paper, we study the link between a Chance-Constrained optimization Problem (CCP)
and its sample counterpart (SP). SP has a finite number, say N, of sampled constraints …
and its sample counterpart (SP). SP has a finite number, say N, of sampled constraints …
[ΒΙΒΛΙΟ][B] The control systems handbook: control system advanced methods
WS Levine - 2018 - books.google.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …
engineers working with modern control systems required. Among its many accolades, that …
Randomized strategies for probabilistic solutions of uncertain feasibility and optimization problems
In this paper, we study two general semi-infinite programming problems by means of a
randomized strategy based on statistical learning theory. The sample size results obtained …
randomized strategy based on statistical learning theory. The sample size results obtained …
Research on probabilistic methods for control system design
A novel approach based on probability and randomization has emerged to synergize with
the standard deterministic methods for control of systems with uncertainty. The main …
the standard deterministic methods for control of systems with uncertainty. The main …
Common Lyapunov functions and gradient algorithms
This note is concerned with the problem of finding a quadratic common Lyapunov function
for a large family of stable linear systems. We present gradient iteration algorithms which …
for a large family of stable linear systems. We present gradient iteration algorithms which …
[ΒΙΒΛΙΟ][B] Robust control of linear systems subject to uncertain time-varying parameters
F Amato - 2006 - Springer
The last thirty years have witnessed an enormous effort in the field of robust control of
dynamical systems. The main objective of this book is that of presenting, in a unified …
dynamical systems. The main objective of this book is that of presenting, in a unified …