Related Experiment Video
Updated: Feb 15, 2026
11:12
Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
23.2K
Event-triggered decentralized adaptive critic learning control for interconnected systems with nonlinear inequality
Wenqian Du1, Mingduo Lin2, Guoling Yuan3
1School of Systems Science, Beijing Normal University, Beijing, 100875, China; Traffic Management Bureau of Wuhan Public Security Bureau, Wuhan, 430030, China.
Summary
A new event-triggered decentralized adaptive critic learning (ACL) control method addresses nonlinear constraints in interconnected systems. This approach optimizes resource usage by updating control policies only when necessary, ensuring system stability.
Area of Science:
- Control Systems Engineering
- Artificial Intelligence
- Nonlinear Dynamics
Background:
- Interconnected systems often face complex nonlinear state constraints.
- Decentralized control strategies are crucial for managing large-scale systems.
- Adaptive critic learning (ACL) offers a powerful framework for optimal control.
Purpose of the Study:
- To propose an event-triggered decentralized adaptive critic learning (ACL) control method.
- To handle nonlinear inequality state constraints in interconnected systems.
- To enhance computational and communication efficiency.
Main Methods:
- Transforming nonlinear inequality constraints into equality constraints using slack functions.
- Developing decentralized control laws via local policy iteration and Hamilton-Jacobi-Bellman equations.
- Implementing a novel event-triggering mechanism for resource-efficient control updates.
Main Results:
- Successfully derived event-triggered decentralized control laws for isolated subsystems.
- Developed an overall optimal control strategy for the entire interconnected system.
- Guaranteed uniform ultimate boundedness for the closed-loop system and neural network weight estimation errors.
Conclusions:
- The proposed event-triggered ACL method effectively manages nonlinear constraints in interconnected systems.
- The method significantly reduces computational and communication overhead.
- Simulation results validate the approach's effectiveness and stability guarantees.
Keywords:
Adaptive critic learningAdaptive dynamic programmingDecentralized controlEvent-triggered controlInequality state constraintsMore Related Videos
10:10Exploring the Sequential Cellular Events of Phagocytosis Triggered by Godanti Bhasma in Mammalian Cells
Published on: July 11, 2025
754
08:42Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
Published on: May 5, 2015
12.6K
Related Concept Videos
01:29Application of Nonlinear Inequalities
268
A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality: can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the...
268
01:25Introduction to Nonlinear Inequalities
236
Linear and nonlinear inequalities are fundamental for analyzing variable relationships and identifying ranges satisfying specific conditions. A linear inequality involves variables raised only to the first power, resulting in a straight-line graph. This line partitions the coordinate plane into two distinct regions: one that satisfies the inequality and one that does not. Each region represents a set of solutions where the linear relationship holds true under the specified constraint.Nonlinear...
236
01:10Control Systems
1.9K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
1.9K
01:25Control Systems: Applications
1.2K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.2K
01:26Feedback control systems
732
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...
732
01:23Absolute Value Inequalities
350
The absolute value is a mathematical tool that represents the distance of a number from zero on the number line, regardless of its sign. In the context of inequalities, absolute value expressions help define a range of permissible values or boundaries for a variable. These inequalities are commonly used in scientific modeling and data interpretation, where variability within or beyond a certain threshold must be captured precisely.An absolute value inequality of the form ∣x∣ ≤...
350