在杂和时间延迟的环境中,跟踪控制具有内在非线性动态的异质多代理系统
IEEE transactions on cybernetics
|October 15, 2024
概括
本研究提出了一种针对面临非线性动态,噪声和时间延迟的异质多代理系统 (MAS) 的新控制协议. 它在复杂的环境中确保可靠的跟踪性能.
科学领域:
- 控制系统工程 控制系统工程
- 非线性动力学是一种非线性动力学.
- 随机系统 随机系统 随机系统
背景情况:
- 异质多代理系统 (MAS) 呈现出复杂的非线性动态.
- 现实世界的应用涉及杂和时间延迟的环境,使控制复杂化.
- 现有的控制策略经常与内在的非线性和随机干扰作斗争.
研究的目的:
- 为具有非线性动态的异质MAS开发一个强大的跟踪控制战略.
- 为应对多重噪音和时间变化的延迟所带来的挑战.
- 建立可靠跟踪性能的理论条件.
主要方法:
- 通过使用Lyapunov-Krasovskii函数来开发非线性随机延迟系统的新稳定性标准.
- 平均平方 (m.s.) 的足够条件. 并且几乎可以确定 (a.s.) 的跟踪.
- 对集成者异质MAS的条件被简化,包括一个没有延迟的案例.
主要成果:
- 拟议的稳定性标准有助于设计有效的跟踪控制器.
- 衍生条件保证了MS的使用. 和AS跟踪复杂的MASs.
- 对于集成器MAS,获得了明确的标量不等式,澄清了噪声和控制收益关系.
结论:
- 开发的控制协议有效地管理跟踪在异质的MAS与非线性动态,噪声和延迟.
- 该理论框架为在具有挑战性的环境中设计强大的控制系统提供了基础.
- 模拟结果证实了拟议的控制方法的实际有效性.
相关概念视频
Feedback control systems
293
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...
293
Multi-input and Multi-variable systems
100
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
100
Linear Approximation in Time Domain
68
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
68
Control Systems
1.1K
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...
1.1K
Linear time-invariant Systems
222
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...
222
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
44
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
44


