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 …
Linear parameter-varying and time-delay systems
C Briat - Analysis, observation, filtering & control, 2014 - Springer
This book provides an introduction to the analysis and control of linear parametervarying
systems, time-delay systems, and their interactions. The purpose is to give the readers some …
systems, time-delay systems, and their interactions. The purpose is to give the readers some …
[ΒΙΒΛΙΟ][B] Model-based fault diagnosis techniques: design schemes, algorithms, and tools
SX Ding - 2008 - books.google.com
A most critical and important issue surrounding the design of automatic control systems with
the successively increasing complexity is guaranteeing a high system performance over a …
the successively increasing complexity is guaranteeing a high system performance over a …
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 …
The exact feasibility of randomized solutions of uncertain convex programs
Many optimization problems are naturally delivered in an uncertain framework, and one
would like to exercise prudence against the uncertainty elements present in the problem. In …
would like to exercise prudence against the uncertainty elements present in the problem. In …
[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 …
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 …