Considering the class of linear time-invariant (LTI) systems and utilizing the various mathematical tools, for diverse scenarios, we design sparsity-promoting feedback controllers while attaining a reasonable performance loss. Diverse scenarios can be classified as follows: (i) feedback controller sparsification subject to attain a similar frequency behavior for the case without/with parametric uncertainty (Chapters 2 and 4) (ii) improvement on sparsity in time domain in addition to sparsity promotion in feedback controller (Chapters 3 and 8) (iii) sparse feedback controller design for uncertain time-delay systems (Chapter 5) (iv) row-column (r, c)-sparse feedback controller design (Chapter 6) (v) feedback controller sparsification for larg...
This thesis consists of two parts. Each of them deals with problems in the design of linear time-inv...
Despite the abundance of available literature that starts with the seminal paper of Wang and Davison...
Optimal control is a popular approach to synthesize highly dynamic motion. Commonly, L 2 regularizat...
Considering the class of linear time-invariant (LTI) systems and utilizing the various mathematical ...
This dissertation is about control, identification, and analysis of systems with sparse interconnect...
In this paper, we explore the discrete time sparse feedback control for a linear invariant system, w...
Design of a physical system and its controller has significant ramifications on the overall system p...
We address the problem of designing optimal linear time-invariant (LTI) sparse controllers for LTI s...
Abstract—We design sparse and block sparse feedback gains that mini-mize the variance amplification ...
The method of sparsity has been attracting a lot of attention in the fields related not only to sign...
A fundamental question in feedback control design is how to achieve desired performance under system...
This research presents development of L1 adaptive output-feedback control theory for a class of unce...
This paper addresses the design of controllers, subject to sparsity constraints, for linear and time...
In this letter, we consider the maximization of a quantitative metric of controllability with a cons...
In this paper, we explore the discrete time sparse feedback control for a linear invariant system, w...
This thesis consists of two parts. Each of them deals with problems in the design of linear time-inv...
Despite the abundance of available literature that starts with the seminal paper of Wang and Davison...
Optimal control is a popular approach to synthesize highly dynamic motion. Commonly, L 2 regularizat...
Considering the class of linear time-invariant (LTI) systems and utilizing the various mathematical ...
This dissertation is about control, identification, and analysis of systems with sparse interconnect...
In this paper, we explore the discrete time sparse feedback control for a linear invariant system, w...
Design of a physical system and its controller has significant ramifications on the overall system p...
We address the problem of designing optimal linear time-invariant (LTI) sparse controllers for LTI s...
Abstract—We design sparse and block sparse feedback gains that mini-mize the variance amplification ...
The method of sparsity has been attracting a lot of attention in the fields related not only to sign...
A fundamental question in feedback control design is how to achieve desired performance under system...
This research presents development of L1 adaptive output-feedback control theory for a class of unce...
This paper addresses the design of controllers, subject to sparsity constraints, for linear and time...
In this letter, we consider the maximization of a quantitative metric of controllability with a cons...
In this paper, we explore the discrete time sparse feedback control for a linear invariant system, w...
This thesis consists of two parts. Each of them deals with problems in the design of linear time-inv...
Despite the abundance of available literature that starts with the seminal paper of Wang and Davison...
Optimal control is a popular approach to synthesize highly dynamic motion. Commonly, L 2 regularizat...