Robust Output Regulation of Uncertain Singular Linear Systems Subject to Input Saturation and DoS Attacks
IEEE Transactions on Cybernetics
|March 3, 2025
Summary
This study introduces a robust output feedback regulator for uncertain singular linear systems facing input saturation and denial-of-services (DoS) attacks. The proposed method ensures output regulation despite these challenges, enhancing system stability and performance.
Area of Science:
- Control Systems Engineering
- Systems Theory
- Cyber-Physical Systems Security
Background:
- Singular linear systems are prevalent in various engineering applications but are sensitive to uncertainties and external disturbances.
- Input saturation and denial-of-services (DoS) attacks pose significant challenges to the stability and performance of control systems.
- Robust output regulation is crucial for maintaining desired system behavior under adverse conditions.
Purpose of the Study:
- To develop a semi-global robust output feedback regulator for uncertain singular linear systems.
- To address the combined effects of input saturation and DoS attacks.
- To ensure asymptotic convergence of the output error to the origin.
Main Methods:
- A post-processing internal model-based robust output feedback regulator is proposed.
- Small gain techniques are employed with two small positive parameters.
- The system is modeled as a hybrid system using hybrid formalism, with jumps representing DoS attacks.
Main Results:
- The proposed regulator demonstrates robustness against certain DoS attacks and structured uncertainties.
- The output error asymptotically converges to the origin under specific conditions of small structured uncertainty and met DoS attack duration constraints.
- The effectiveness of the regulator is validated through two numerical examples.
Conclusions:
- The developed regulator effectively handles input saturation and DoS attacks in uncertain singular linear systems.
- The proposed approach provides a viable solution for robust output regulation in challenging environments.
- The findings contribute to the design of more resilient and reliable control systems.
Related Concept Videos
Second Order systems II
79
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
79
BIBO stability of continuous and discrete -time systems
321
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
321
Time-Domain Interpretation of PD Control
78
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
78
Pole and System Stability
235
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
235
Routh-Hurwitz Criterion I
134
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
134
Linear time-invariant Systems
202
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
202


