USV Switching T-S Fuzzy Control Under DoS Attacks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Unmanned surface vehicle control systems face instability due to denial of service (DoS) attacks, which occupy communication channels and consume network bandwidth, leading to challenges in maintaining system stability and performance.
Innovation Solution
A method using a switching Takagi-Sugeno (T-S) fuzzy system with an event-triggered scheme and T-S fuzzy H∞ controller is implemented to ensure mean square stability under DoS attacks, involving the establishment of a motion mathematical model, linearization, and design of a controller with piecewise Lyapunov functionals to obtain controller gains and event-triggered mechanism parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If network communication is used for control signal transmission, then system automation and convenience are improved, but system reliability deteriorates due to DoS attacks
Solution Approach 1:
The control system is segmented into multiple operational modes (normal mode and DoS attack mode) with distinct control strategies. The switching mechanism divides the control architecture into separate handling paths for different attack scenarios, allowing each segment to be optimized independently while maintaining overall system reliability.
Solution Approach 2:
The control system dynamically switches between different control modes based on real-time detection of DoS attack conditions. The switching T-S fuzzy system adapts its parameters and control strategy in response to changing network conditions, transitioning smoothly between normal operation and attack mitigation modes to maintain reliability.
2Loss of energy
If event-triggered scheme is implemented to reduce communication pressure, then network bandwidth consumption is reduced, but control responsiveness may deteriorate
Solution Approach 1:
The event-triggered mechanism implements periodic sampling with conditional transmission, where control signals are transmitted only when specific triggering conditions are met rather than continuously. This periodic action reduces network communication pressure by eliminating redundant transmissions while maintaining adequate control responsiveness through strategically timed updates.
Solution Approach 2:
The event-triggered scheme incorporates feedback mechanisms that monitor system state changes and network conditions to dynamically adjust transmission timing. When significant state changes occur or attack conditions are detected, the system responds by triggering transmissions, thereby balancing communication reduction with maintained responsiveness.
3Manufacturing precision
If T-S fuzzy H∞ controller is designed to handle nonlinearities, then control precision is improved, but system complexity increases
Solution Approach 1:
The T-S fuzzy H∞ controller utilizes parameter changes in fuzzy membership functions and H∞ control gains to adapt to nonlinear system behaviors. By adjusting these parameters based on operating conditions and attack scenarios, the controller achieves high precision without requiring complex structural modifications, maintaining manageable system complexity.
Solution Approach 2:
The control architecture combines T-S fuzzy logic with H∞ control theory to create a composite control system. This composite approach integrates the nonlinear handling capabilities of fuzzy logic with the robust optimization of H∞ control, achieving superior precision while distributing complexity across two well-established theoretical frameworks rather than requiring a single overly complex solution.
Data Source
AI summary
The present invention discloses a collaborative design method using an event-triggered scheme (ETS) and a Takagi-Sugeno (T-S) fuzzy H∞ controller in a network environment. For the problem about the unmanned surface vehicle control based on a switching T-S fuzzy system under an aperiodic DoS attack, the present invention provides an H∞ controller design method based on the event-triggered scheme. The characteristics of the unmanned surface vehicle system under the DoS attack are analyzed, and external disturbance in the navigation process is added into an unmanned surface vehicle motion model to establish an unmanned surface vehicle switching system model. The stability of the system is analyzed by piecewise Lyapunov functionals, such that controller gain and event-triggered scheme weight matrix parameters are obtained, thus ensuring that a networked unmanned surface vehicle navigation system has the ability to resist the DoS attack and the external disturbance.