Closed-form solution to finite-horizon suboptimal control of nonlinear systems

DOI10.1002/rnc.3222zbMath1331.49004OpenAlexW1576417577MaRDI QIDQ3465699

Ali Akbar Heydari, S. N. Balakrishnan

Publication date: 22 January 2016

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.3222

zbMATH Keywords

optimal controlnonlinear systemsterminal controlfinite-horizon controlfixed-final-time control

Mathematics Subject Classification ID

Related Items (7)

Finite-time SDRE control of F16 aircraft dynamics ⋮ Nonlinear Optimal Feedback Control of the Two-Level Open Non-Markovian Stochastic Quantum System ⋮ Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems ⋮ A novel domain of attraction based synthesis of inverse optimal control ⋮ Time-energy suboptimal control of nonlinear input-affine systems ⋮ Finite‐time sub‐optimal control design for control affine nonlinear systems ⋮ Tutorial and Review on the State-dependent Riccati Equation

Cites Work

• A neural network solution for fixed-final time optimal control of nonlinear systems
• Determination of optimal feedback terminal controllers for general boundary conditions using generating functions
• Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
• Nonlinear control systems.
• Solution of the matrix Riccati equation for the linear quadratic control problems
• On infinite-time nonlinear quadratic optimal control
• Global optimal feedback control for general nonlinear systems with nonquadratic performance criteria
• Optimal control and stabilization for nonlinear systems
• A new numerical solution of<tex>Ẋ = A_{1}X + XA_{2} + D, X(0) = C</tex>
• Control designs for the nonlinear benchmark problem via the state-dependent Riccati equation method
• Solving the Matrix Differential Riccati Equation: A Lyapunov Equation Approach

This page was built for publication: Closed-form solution to finite-horizon suboptimal control of nonlinear systems