Linear Systems in Discrete Time

A new modified state variable diagram method is proposed for determination of positive realizations with reduced numbers of delays and without delays of linear discrete-time systems for a given transfer function. Sufficient conditions for the existence of the positive realizations of given proper transfer function are established. It is shown that there exists a positive realization with reduced numbers of delays if there exists a positive realization without delays but with greater dimension. The proposed methods are demonstrated on a numerical example.

Download Full-text

A Robust Fault-Tolerant Predictive Control for Discrete-Time Linear Systems Subject to Sensor and Actuator Faults

Sensors ◽

10.3390/s21072307 ◽

2021 ◽

Vol 21 (7) ◽

pp. 2307

Author(s):

Sofiane Bououden ◽

Ilyes Boulkaibet ◽

Mohammed Chadli ◽

Abdelaziz Abboudi

Keyword(s):

Model Predictive Control ◽

Linear Systems ◽

Predictive Control ◽

Robust Stability ◽

Discrete Time ◽

Fault Tolerant ◽

Linear Matrix ◽

Input Constraints ◽

Actuator Faults ◽

Time Linear

In this paper, a robust fault-tolerant model predictive control (RFTPC) approach is proposed for discrete-time linear systems subject to sensor and actuator faults, disturbances, and input constraints. In this approach, a virtual observer is first considered to improve the observation accuracy as well as reduce fault effects on the system. Then, a real observer is established based on the proposed virtual observer, since the performance of virtual observers is limited due to the presence of unmeasurable information in the system. Based on the estimated information obtained by the observers, a robust fault-tolerant model predictive control is synthesized and used to control discrete-time systems subject to sensor and actuator faults, disturbances, and input constraints. Additionally, an optimized cost function is employed in the RFTPC design to guarantee robust stability as well as the rejection of bounded disturbances for the discrete-time system with sensor and actuator faults. Furthermore, a linear matrix inequality (LMI) approach is used to propose sufficient stability conditions that ensure and guarantee the robust stability of the whole closed-loop system composed of the states and the estimation error of the system dynamics. As a result, the entire control problem is formulated as an LMI problem, and the gains of both observer and robust fault-tolerant model predictive controller are obtained by solving the linear matrix inequalities (LMIs). Finally, the efficiency of the proposed RFTPC controller is tested by simulating a numerical example where the simulation results demonstrate the applicability of the proposed method in dealing with linear systems subject to faults in both actuators and sensors.

Download Full-text

Design of a Teaching Control Tool in Matlab for Continuous and Discrete Time Linear Systems

2020 IX International Congress of Mechatronics Engineering and Automation (CIIMA) ◽

10.1109/ciima50553.2020.9290316 ◽

2020 ◽

Author(s):

Oscar J. Suarez ◽

Carlos Daniel Valadez

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Time Linear ◽

Control Tool

Download Full-text

Reduced order positive filter design for positive uncertain discrete-time linear systems*

IEEE Control Systems Letters ◽

10.1109/lcsys.2021.3089368 ◽

2021 ◽

pp. 1-1

Author(s):

Amanda Spagolla ◽

Cecilia F. Morais ◽

Ricardo C. L. F. Oliveira ◽

Pedro L. D. Peres

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Filter Design ◽

Reduced Order ◽

Time Linear

Download Full-text

On the spectrum of discrete time-varying linear systems

Nonlinear Analysis Hybrid Systems ◽

10.1016/j.nahs.2013.01.004 ◽

2013 ◽

Vol 9 ◽

pp. 27-41 ◽

Cited By ~ 31

Author(s):

Adam Czornik ◽

Michał Niezabitowski

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Time Varying

Download Full-text