A survey of randomized algorithms for control synthesis and performance verification
From MaRDI portal
Publication:2371305
DOI10.1016/j.jco.2007.01.003zbMath1117.65180OpenAlexW2096418653MaRDI QIDQ2371305
Fabrizio Dabbene, Roberto Tempo, Giuseppe Carlo Calafiore
Publication date: 4 July 2007
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jco.2007.01.003
Related Items
Stochastic algorithms for robustness of control performances, On the robustness of Markov jump linear systems with norm-bounded uncertainty on transition rates, Linear computational complexity robust ILC for lifted systems, Research on probabilistic methods for control system design, Frequency‐domain optimization of fixed‐structure controllers, Monte Carlo and Las Vegas randomized algorithms for systems and control. An introduction, Distributed randomized algorithms for probabilistic performance analysis
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Guaranteed cost regulator design: a probabilistic solution and a randomized algorithm
- Polynomial-time algorithms for probabilistic solutions of parameter-dependent linear matrix inequalities
- On the complete instability of interval polynomials
- Least costly identification experiment for control
- Worst-case properties of the uniform distribution and randomized algorithms for robustness analysis
- Several NP-hard problems arising in robust stability analysis
- The uniform distribution: A rigorous justification for its use in robustness analysis
- Probabilistic robustness analysis: Explicit bounds for the minimum number of samples
- Probabilistic design of LPV control systems.
- Computational complexity of randomized algorithms for solving parameter-dependent linear matrix inequalities.
- A probabilistic framework for problems with real structured uncertainty in systems and control
- Randomized algorithms for analysis and control of uncertain systems. With a foreword by M. Vidyasagar
- Randomized algorithms for robust stability and guaranteed cost control of stochastic jump parameter systems with uncertain switching policies
- Checking robust nonsingularity is NP-hard
- Randomized algorithms for quadratic stability of quantized sampled-data systems
- A probabilistic analytic center cutting plane method for feasibility of uncertain LMIs
- An ellipsoid algorithm for probabilistic robust controller design
- Monte Carlo and Las Vegas randomized algorithms for systems and control. An introduction
- Randomized algorithms for probabilistic robustness with real and complex structured uncertainty
- Improved sample complexity estimates for statistical learning control of uncertain systems
- Optimal algorithms theory for robust estimation and prediction
- Robust estimation and filtering in the presence of bounded noise
- Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses
- Control oriented system identification: a worst-case/deterministic approach in H/sub infinity /
- On the metric complexity of casual linear systems: ε -Entropy and ε -Dimension for continuous time
- Stochastic algorithms for exact and approximate feasibility of robust LMIs
- Control design with hard/soft performance specifications: aQ-parameter randomization approach
- Mixed Deterministic/Randomized Methods for Fixed Order Controller Design
- Common Lyapunov Functions and Gradient Algorithms
- An algorithm for sampling subsets of H/sub /spl infin// with applications to risk-adjusted performance analysis and model (in)validation
- Randomized algorithms for synthesis of switching rules for multimodal systems
- Maximizing the stability radius of a set of systems under real-time scheduling constraints
- The Scenario Approach to Robust Control Design
- Probability Inequalities for Sums of Bounded Random Variables
- A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations
- Convergence of stochastic processes
- A survey of computational complexity results in systems and control
- Probabilistic robust design with linear quadratic regulators
- Randomized algorithms for robust controller synthesis using statistical learning theory
- Probabilistic solutions to some NP-hard matrix problems