In decentralized control problems, a standard approach is to specify the set of allowable decentralized controllers as a closed subspace of linear operators. This then induces a corresponding set of of Youla parameters. Previous work has shown that quadratic invariance of the controller set implies that the the set of Youla parameters is convex. In this short note, we prove the converse. We thereby show that the only decentralized control problems for which the set of Youla parameters is convex are those which are quadratically invariant.
We study the distributed Linear Quadratic Gaussian (LQG) control problem in discrete-time and finite...
Abstract — We consider the problem of designing optimal sta-bilizing decentralized controllers subje...
This paper studies the problem of robust controller design for systems with integral quadratic const...
The problem of finding an optimal decentralized controller is considered, where both the plant and t...
Abstract—We consider the problem of constructing optimal decentralized controllers. We formulate thi...
A convex parameterization of internally stabilizing controllers is fundamental for many controller s...
A convex parameterization of internally stabilizing controllers is fundamental for many controller s...
We consider the problem of constructing decentralized control systems. We formulate this problem as ...
Abstract: Quadratic invariance is a condition which has been shown to allow for optimal decentralize...
We consider the problem of constructing decentralized control systems for unstable plants. We formul...
Abstract—This paper addresses the design of controllers, subject to sparsity constraints, for linear...
Abstract—We cast the problem of optimal decentralized control as one of minimizing a closed-loop nor...
The decentralized control problem for linear dynamic systems is revisited using a parameter space ap...
Abstract—Quadratic invariance is a condition which has been shown to allow for optimal decentralized...
For decentralized control problems with quadratically in-variant information constraints, the optima...
We study the distributed Linear Quadratic Gaussian (LQG) control problem in discrete-time and finite...
Abstract — We consider the problem of designing optimal sta-bilizing decentralized controllers subje...
This paper studies the problem of robust controller design for systems with integral quadratic const...
The problem of finding an optimal decentralized controller is considered, where both the plant and t...
Abstract—We consider the problem of constructing optimal decentralized controllers. We formulate thi...
A convex parameterization of internally stabilizing controllers is fundamental for many controller s...
A convex parameterization of internally stabilizing controllers is fundamental for many controller s...
We consider the problem of constructing decentralized control systems. We formulate this problem as ...
Abstract: Quadratic invariance is a condition which has been shown to allow for optimal decentralize...
We consider the problem of constructing decentralized control systems for unstable plants. We formul...
Abstract—This paper addresses the design of controllers, subject to sparsity constraints, for linear...
Abstract—We cast the problem of optimal decentralized control as one of minimizing a closed-loop nor...
The decentralized control problem for linear dynamic systems is revisited using a parameter space ap...
Abstract—Quadratic invariance is a condition which has been shown to allow for optimal decentralized...
For decentralized control problems with quadratically in-variant information constraints, the optima...
We study the distributed Linear Quadratic Gaussian (LQG) control problem in discrete-time and finite...
Abstract — We consider the problem of designing optimal sta-bilizing decentralized controllers subje...
This paper studies the problem of robust controller design for systems with integral quadratic const...