scholarly journals Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations

2021 ◽  
pp. 1-1
Author(s):  
Giacomo Albi ◽  
Sara Bicego ◽  
Dante Kalise
Keyword(s):  
Supervised Learning ◽  
Riccati Equations ◽  
Optimal Feedback ◽  
State Dependent ◽  
Feedback Laws

scholarly journals Yaw Angle Tracking Control Design of Underactuated AUV By Using State Dependent Riccati Equations (SDRE)-LQT

2019 ◽  
Vol 3 (2) ◽  
pp. 325
Author(s):  
Muhammad Basri Hasan
Keyword(s):  
Tracking Control ◽  
Control Design ◽  
Riccati Equations ◽  
The State ◽  
Linear Quadratic ◽  
State Dependent ◽  
Linear Quadratic Tracking ◽  
Quadratic Tracking ◽  
Yaw Angle ◽  
Angle Tracking

In realizing yaw angle control tracking on AUV, the use of the State Dependent Riccati Equations method based on Linear Quadratic Tracking (SDRE-LQT) is realized. This algorithm calculates changes in yaw angle tracking problems through calculation of parameter changes from online AUV with Algebraic Riccati Equations.So that the control signal given to the plant can follow the changing conditions of the plant itself. 

scholarly journals On the construction of nearly time optimal continuous feedback laws around switching manifolds

2020 ◽  
Vol 26 ◽  
pp. 4
Author(s):  
Fabio Ancona ◽  
Cristopher Hermosilla
Keyword(s):  
Optimal Control ◽  
Initial Data ◽  
Optimal Trajectories ◽  
Optimal Feedback ◽  
External Perturbations ◽  
Starting Point ◽  
Time Optimal ◽  
Continuous Feedback ◽  
Time Optimal Control Problem ◽  
Feedback Laws

In this paper, we address the question of the construction of a nearly time optimal feedback law for a minimum time optimal control problem, which is robust with respect to internal and external perturbations. For this purpose we take as starting point an optimal synthesis, which is a suitable collection of optimal trajectories. The construction we exhibit depends exclusively on the initial data obtained from the optimal feedback which is assumed to be known.

Sign in / Sign up

Export Citation Format

Share Document