Convergence of the standard RLS method andUDUTfactorisation of covariance matrix for solving the algebraic Riccati equation of the DLQR via heuristic approximate dynamic programming
DOI10.1080/00207721.2013.844283zbMath1332.90333OpenAlexW2003931400MaRDI QIDQ2792939
João Viana da Fonseca Neto, Patrícia Helena Moraes Rêgo, Ernesto M. Ferreira
Publication date: 14 March 2016
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2013.844283
convergencemultivariable controlnumerical stabilityrecursive least squaresapproximate dynamic programmingdiscrete linear quadratic regulator
Multivariable systems, multidimensional control systems (93C35) Dynamic programming (90C39) Linear-quadratic optimal control problems (49N10)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
- Model-free \(Q\)-learning designs for linear discrete-time zero-sum games with application to \(H^\infty\) control
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- Adaptive optimal control for continuous-time linear systems based on policy iteration
- Error propagation properties of recursive least-squares adaptation algorithms
- Factorization methods for discrete sequential estimation
- Technical update: Least-squares temporal difference learning
- Round-off error propagation in four generally-applicable, recursive, least-squares estimation schemes
- Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming
- Dynamic programming and stochastic control processes
- Self-tuning control of a fixed-bed chemical reactor system
- Probabilistic dual heuristic programming-based adaptive critic
- Vibration control of a nonlinear quarter-car active suspension system by reinforcement learning
- Infinite horizon optimal control of affine nonlinear discrete switched systems using two-stage approximate dynamic programming
This page was built for publication: Convergence of the standard RLS method andUDUTfactorisation of covariance matrix for solving the algebraic Riccati equation of the DLQR via heuristic approximate dynamic programming