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Off-Policy Reinforcement Learning for Control Design
The H∞ control design problem is considered for nonlinear systems with unknown internal
system model. It is known that the nonlinear H∞ control problem can be transformed into …
system model. It is known that the nonlinear H∞ control problem can be transformed into …
Online solution of nonlinear two‐player zero‐sum games using synchronous policy iteration
The two‐player zero‐sum (ZS) game problem provides the solution to the bounded L2‐gain
problem and so is important for robust control. However, its solution depends on solving a …
problem and so is important for robust control. However, its solution depends on solving a …
Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear Control
It is well known that the nonlinear H∞ state feedback control problem relies on the solution
of the Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential …
of the Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential …
Enforcing robust control guarantees within neural network policies
When designing controllers for safety-critical systems, practitioners often face a challenging
tradeoff between robustness and performance. While robust control methods provide …
tradeoff between robustness and performance. While robust control methods provide …
Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm
In this paper, we solve the zero-sum game problems for discrete-time affine nonlinear
systems with known dynamics via iterative adaptive dynamic programming algorithm. First, a …
systems with known dynamics via iterative adaptive dynamic programming algorithm. First, a …
Adaptive dynamic programming for online solution of a zero-sum differential game
This paper will present an approximate/adaptive dynamic programming (ADP) algorithm,
that uses the idea of integral reinforcement learning (IRL), to determine online the Nash …
that uses the idea of integral reinforcement learning (IRL), to determine online the Nash …
Online solution of nonquadratic two‐player zero‐sum games arising in the H ∞ control of constrained input systems
In this paper, we present an online learning algorithm to find the solution to the H∞ control
problem of continuous‐time systems with input constraints. A suitable nonquadratic …
problem of continuous‐time systems with input constraints. A suitable nonquadratic …
Nonlinear differential games-based impact-angle-constrained guidance law
The problem of intercepting a maneuvering target at a prespecified impact angle is posed in
nonlinear zero-sum differential games framework. A feedback form solution is proposed by …
nonlinear zero-sum differential games framework. A feedback form solution is proposed by …
Online solution of two-player zero-sum games for continuous-time nonlinear systems with completely unknown dynamics
Y Fu, T Chai - IEEE transactions on neural networks and …, 2015 - ieeexplore.ieee.org
Regarding two-player zero-sum games of continuous-time nonlinear systems with
completely unknown dynamics, this paper presents an online adaptive algorithm for learning …
completely unknown dynamics, this paper presents an online adaptive algorithm for learning …
Real time control of tethered satellite systems to de-orbit space debris
Abstract Space debris has become a huge concern for orbital missions that makes
remediation a critical and necessary action. Using Tethered Satellite System (TSS) to de …
remediation a critical and necessary action. Using Tethered Satellite System (TSS) to de …