Related Experiment Video
Updated: Jan 17, 2026

11:54
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
5.1K
ε-Dependent/Independent Dynamic Event-Triggered Control of Switched Two-Time-Scale Systems
IEEE Transactions on Cybernetics
|September 24, 2025
Summary
This study introduces novel event-triggered control for switched two-time-scale systems (TTSSs), deriving an explicit upper bound for the singular perturbation parameter (SPP) and ensuring stability without Zeno
Area of Science:
- Control Systems Engineering
- Nonlinear Systems Analysis
- Dynamical Systems Theory
Background:
- Switched two-time-scale systems (TTSSs) present challenges in control design due to their complex dynamics and switching nature.
- Existing control methods for TTSSs often impose restrictive conditions on the singular perturbation parameter (SPP) or rely on Linear Matrix Inequalities (LMIs).
- Computational burden from frequent control signal updates is a significant issue in practical applications of TTSS control.
Purpose of the Study:
- To investigate the event-triggered composite control problem for switched two-time-scale systems (TTSSs).
- To develop novel dynamic event-triggered mechanisms that reduce computational load while ensuring system stability.
- To establish explicit stability conditions that relax existing constraints on the singular perturbation parameter (SPP).
Main Methods:
- Derivation of an explicit upper bound for the singular perturbation parameter (SPP) in switched TTSSs.
- Development of SPP-dependent and SPP-independent dynamic event-triggered control mechanisms.
- Incorporation of boundary layer system analysis and balancing of fast/slow time-scale dynamics within the event-triggered framework.
- Establishment of sufficient stability conditions based on the SPP upper bound and mode-dependent average dwell time.
- Exclusion of Zeno's behavior in the proposed event-triggered control strategies.
Main Results:
- An explicit upper bound for the SPP is derived, overcoming limitations of previous studies.
- Novel dynamic event-triggered mechanisms (SPP-dependent and independent) are proposed, reducing control update frequency.
- Sufficient stability conditions are established, guaranteeing system stability under the developed control strategies.
- Zeno's behavior is successfully excluded, ensuring practical implementability of the control solutions.
Conclusions:
- The proposed event-triggered composite control strategies effectively stabilize switched TTSSs under relaxed conditions.
- The developed mechanisms significantly reduce the computational burden associated with control signal updates.
- Numerical examples validate the effectiveness and advantages of the proposed approach compared to existing methods.
Related Concept Videos
Classification of Systems-II
458
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
458
State Space Representation
531
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
531
Feedback control systems
687
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
687
Transient and Steady-state Response
513
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
513
BIBO stability of continuous and discrete -time systems
887
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....
887
Second Order systems II
389
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.
389

