In this paper, a simulation of predictive control of a two-input two-output (TITO) system with nonminimum phase is presented. The proposed controller is based on extended setting of constraints. This setting represents a modification for purposes of control of nonminimum phase multivariable systems. The main problem of control of this particular type of system is undesirable undershoot in the initial phase of the control. Known methods can properly reduce the undershoot in case of predictive control of single-input single-output (SISO) systems. The paper proposes a modification of a predictive controller for two-input two-output systems with non-minimum phase behaviour. The non-minimum phase TITO models are simulated using its mathematical ...
In this paper we present experimental results of a multivariable linear predictive control strategy ...
The dissertation focuses on the design of regulation and tracking controllers for a class of nonmini...
A predictive control algorithm uses a model of the controlled system to predict the system behavior ...
A predictive controller is a modern type of a regulator which is appropriate for many characters of ...
Non-minimum phase Multi-input Multi-Ouput (MIMO) systems are known to be difficult to control. Model...
This paper considers a two-phase model predictive control (MPC) which utilize a parsimonious paramet...
This paper considers a two-phase model predictive control (MPC) which utilize a parsimonious paramet...
Modern day industrial processes are becoming ever more complex and require a method that is computat...
This paper describes a new method for the design of model predictive control (MPC) using non-minimal...
Testing statistical hypothesis in comparison of corresponding pairs of signals in control has not be...
In process industry, there exist many Wiener systems with input magnitude constraints for which, how...
The paper introduces a controller which integrates a predictive control synthesis based on a multiva...
The control of multi-input multi-output (MIMO) systems is a common problem in practical control scen...
The problem of controlling fast, unstable, and nonminimum-phase systems is considered. With stan-dar...
Abstract--This article concerns non-linear control of single-input-single-output processes with inpu...
In this paper we present experimental results of a multivariable linear predictive control strategy ...
The dissertation focuses on the design of regulation and tracking controllers for a class of nonmini...
A predictive control algorithm uses a model of the controlled system to predict the system behavior ...
A predictive controller is a modern type of a regulator which is appropriate for many characters of ...
Non-minimum phase Multi-input Multi-Ouput (MIMO) systems are known to be difficult to control. Model...
This paper considers a two-phase model predictive control (MPC) which utilize a parsimonious paramet...
This paper considers a two-phase model predictive control (MPC) which utilize a parsimonious paramet...
Modern day industrial processes are becoming ever more complex and require a method that is computat...
This paper describes a new method for the design of model predictive control (MPC) using non-minimal...
Testing statistical hypothesis in comparison of corresponding pairs of signals in control has not be...
In process industry, there exist many Wiener systems with input magnitude constraints for which, how...
The paper introduces a controller which integrates a predictive control synthesis based on a multiva...
The control of multi-input multi-output (MIMO) systems is a common problem in practical control scen...
The problem of controlling fast, unstable, and nonminimum-phase systems is considered. With stan-dar...
Abstract--This article concerns non-linear control of single-input-single-output processes with inpu...
In this paper we present experimental results of a multivariable linear predictive control strategy ...
The dissertation focuses on the design of regulation and tracking controllers for a class of nonmini...
A predictive control algorithm uses a model of the controlled system to predict the system behavior ...