2012
DOI: 10.22342/jims.15.1.40.13-20
|View full text |Cite
|
Sign up to set email alerts
|

On the Optimal Control Computation of Linear Systems

Abstract: Abstract. In this paper, we consider a numerical method for designing optimal control on Linear Quadratic Regulator (LQR) problem. In the optimal control design process through Pontryagin Maximum Principle (PMP), we obtain a system of differential equations in state and costate variables. This system lacks of initial condition on the adjoint variables, and this situation creates classic difficulty for solving optimal control problems. This paper proposes a constructive method to approximate the initial conditi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2014
2014
2014
2014

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 3 publications
0
1
0
Order By: Relevance
“…Utilize Algorithm 1, the best approximation for initial values of costates variables are obtained. The method which proposed in Algoritm 1 here, more general than the method which proposed in Tjahjana et al (2009). The simulation result of multi vehicle controlling is given in the Figure 1 below.…”
Section: Theorem 1 Suppose F Has a Derivative And { }mentioning
confidence: 97%
“…Utilize Algorithm 1, the best approximation for initial values of costates variables are obtained. The method which proposed in Algoritm 1 here, more general than the method which proposed in Tjahjana et al (2009). The simulation result of multi vehicle controlling is given in the Figure 1 below.…”
Section: Theorem 1 Suppose F Has a Derivative And { }mentioning
confidence: 97%