Results 1 to 10 of about 974,107 (247)
Linear control laws for singular linear systems [PDF]
Abstract For a class of quadratic performance indices the optimal control law is a combination of maximum effort (bang-bang) and singular. The singular control law is linear and it is optimal in a hyperplane in the n-dimensional state-space. For practical purposes it is desirable to restrict the class of admissible control laws to be linear.
M. Sobral
openalex +3 more sources
Perturbation of linear control systems
AbstractWe study the variation of the controllability indices and the Jordan structure of a pair of matrices (A, B), under small perturbations.
Juan-Miguel Gracia+2 more
openalex +3 more sources
Covertly Controlling a Linear System
Consider the problem of covertly controlling a linear system. In this problem, Alice desires to control (stabilize or change the parameters of) a linear system, while keeping an observer, Willie, unable to decide if the system is indeed being controlled or not. We formally define the problem, under two different models: (i) When Willie can only observe
Barak Amihood, Asaf Cohen
openaire +3 more sources
In this article, we are concerned with minimal-time optimal problems for the class of controllable linear control system on low-dimensional nonnilpotent solvable Lie groups and their homogeneous spaces.
Da Silva Adriano+3 more
doaj +1 more source
On local linearization of control systems [PDF]
We consider the problem of topological linearization of smooth (C infinity or real analytic) control systems, i.e. of their local equivalence to a linear controllable system via point-wise transformations on the state and the control (static feedback transformations) that are topological but not necessarily differentiable.
Baratchart, Laurent+1 more
openaire +6 more sources
Controllability and null controllability of linear systems [PDF]
This paper establishes sufficient conditions for the controllability and null controllability of linear systems. The aim is to use the variation of constant formula to deduce our controllability grammiam, by exploiting the properties of the grammiam and the asymptotic stability of the free system, we achieved our results.
I. Davies, P. Jackreece
openaire +4 more sources
Risk‐aware self‐triggered linear quadratic control
This paper presents a self‐triggered control approach with the view of risks for discrete‐time linear stochastic systems. More specifically, under the assumption that the first two moments of the disturbance distribution are known, the paper considers ...
Masako Kishida
doaj +1 more source
An online intelligent robust adaptive LSQR estimation method for LTI state space model
Regarding the low accuracy and instability of common online methods for estimating dynamic models in the time domain, in the presence of uncertainty in system dynamics, sensor noise and environmental disturbances, this area is still open for further ...
Shahram Hosseini+2 more
doaj +1 more source
A note on the minimum‐norm in dual space approach to some classical linear optimal control problems
Some classical optimal control problems of linear systems can be characterized as finding minimum‐norm vectors from within linear varieties in appropriate dual spaces.
Yue Zhou, Pushkin Kachroo, Kaan Ozbay
doaj +1 more source
Self-tuning method for a linear active disturbance rejection controller
This paper introduces a parameter self-tuning algorithm based on dynamic response time series data mining to solve the parameter self-tuning difficulty of a linear active disturbance rejection controller(LADRC).
LI Yang, WANG Jing, ZHANG Yong-jun
doaj +1 more source