In this paper a new input/output pairing strategy based on linear quadratic Gaussian control (LQG) is suggested. The strategy is used to compare the expected performance of decentralized control structures in some illustrative examples. The pairing suggestions are compared with the recommendations previously obtained using other interaction measures such as the Relative Gain Array (RGA). The new strategy gives suitable pairing recommendations and is easy to interpret
In the last decade and particularly the last several years, multirate digital control has been an ar...
The Free Energy Principle, which underlies Active Inference (AI), is a way to explain human percepti...
We formulate the multibunch feedback problem as a stan-dard control-systems design problem and solve...
In this paper, the Linear Quadratic Gaussian (LQG) control of linear time invariant (LTI) systems wi...
In this paper we consider the problem of linear quadratic regulator (LQR) performance for cascade co...
In control, the most common type of system is the multiple-input multiple-output(MIMO) system, where...
Industrial processes nowadays involve hundreds or more of variables to be maintained within predefin...
A new procedure for analysis and selection of control structures is presented. In addition to the re...
Block Relative Gain (BRG) is a useful method for finding suitable pairings for block decentralized c...
This paper addresses linear quadratic Gaussian (LQG) control problems for multi-input multioutput (M...
This paper addresses linear quadratic Gaussian (LQG) control problems for multi-input multioutput (M...
Block Relative Gain (BRG) is a useful method for screening alternatives for block decentralized cont...
In control, a common type of system is the multiple-input multiple-output (MIMO) system, where the s...
We review the popular Linear Gaussian Quadratic (LQG) controller design for DPS and its shortcomings...
In this paper, we present a robust decentralized method for jointly performing channel estimation an...
In the last decade and particularly the last several years, multirate digital control has been an ar...
The Free Energy Principle, which underlies Active Inference (AI), is a way to explain human percepti...
We formulate the multibunch feedback problem as a stan-dard control-systems design problem and solve...
In this paper, the Linear Quadratic Gaussian (LQG) control of linear time invariant (LTI) systems wi...
In this paper we consider the problem of linear quadratic regulator (LQR) performance for cascade co...
In control, the most common type of system is the multiple-input multiple-output(MIMO) system, where...
Industrial processes nowadays involve hundreds or more of variables to be maintained within predefin...
A new procedure for analysis and selection of control structures is presented. In addition to the re...
Block Relative Gain (BRG) is a useful method for finding suitable pairings for block decentralized c...
This paper addresses linear quadratic Gaussian (LQG) control problems for multi-input multioutput (M...
This paper addresses linear quadratic Gaussian (LQG) control problems for multi-input multioutput (M...
Block Relative Gain (BRG) is a useful method for screening alternatives for block decentralized cont...
In control, a common type of system is the multiple-input multiple-output (MIMO) system, where the s...
We review the popular Linear Gaussian Quadratic (LQG) controller design for DPS and its shortcomings...
In this paper, we present a robust decentralized method for jointly performing channel estimation an...
In the last decade and particularly the last several years, multirate digital control has been an ar...
The Free Energy Principle, which underlies Active Inference (AI), is a way to explain human percepti...
We formulate the multibunch feedback problem as a stan-dard control-systems design problem and solve...