2015
DOI: 10.1007/s10898-015-0346-8
|View full text |Cite
|
Sign up to set email alerts
|

The method of uniform monotonous approximation of the reachable set border for a controllable system

Abstract: A numerical method of a two-dimensional non-linear controllable system reachable set boundary approximation is considered. In order to approximate the boundary right piecewise linear closed contours are used: a set of broken lines on a plane. As an application of the proposed technique a method of finding linear functional global extremum is described, including its use for systems with arbitrary dimensionality.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(9 citation statements)
references
References 31 publications
0
8
0
Order By: Relevance
“…Implementation: We use T = 10s, discretize the problem with a Runge-Kutta (RK4) scheme with ∆t = 1 s, and enforce the constraints in (19) at each timestep t k = k∆t, which is justified by the continuity of the state trajectories. The feedback gain K is given by a standard linear-quadratic regulator (LQR).…”
Section: B Details On the Spacecraft Attitude Control Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Implementation: We use T = 10s, discretize the problem with a Runge-Kutta (RK4) scheme with ∆t = 1 s, and enforce the constraints in (19) at each timestep t k = k∆t, which is justified by the continuity of the state trajectories. The feedback gain K is given by a standard linear-quadratic regulator (LQR).…”
Section: B Details On the Spacecraft Attitude Control Resultsmentioning
confidence: 99%
“…We evaluate Lt and Ht using 10 5 samples 4 and directly use the error bounds t predicted in (10). This choice of t ensures that the problem with the approximated constraints (19) gives solutions that satisfy the original constraints in (17), see also [29,Corollary 5.3]. We only parameterize the nominal state and control trajectories (x 0 , ū) and evaluate (19) and its gradient as a function of ū.…”
Section: B Details On the Spacecraft Attitude Control Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Gornov et al . [11] proposed a numerical method based on the Pontryagin maximum principle of optimal control theory to construct approximations of reachable sets. Xiang et al .…”
Section: Introductionmentioning
confidence: 99%