概括
本研究引入了一种用于识别多事件随机模糊离散事件系统 (SFDES) 的新方法,通过扩展基于方程系统的技术和证明最大产品推理的关联性. 这项研究使得SFDES中的顺序事件分析成为可能,这是该领域的一个新方向.
科学领域:
- 控制系统工程 控制系统工程
- 模糊逻辑系统 模糊逻辑系统
- 随机过程 随机过程
背景情况:
- 随机模糊离散事件系统 (SFDES) 涉及具有概率事件的多个模糊自动机.
- 之前的工作重点是使用最大产品模糊推理对单个事件的SFDES识别.
- 识别多事件SFDES,事件发生顺序,仍然是一个未开发的研究领域.
研究的目的:
- 开发一种用于识别多事件SFDES的新方法.
- 将基于方程系统的技术的适用性扩展到连续事件识别.
- 在多事件SFDES中理论分析学习和目标事件过渡矩阵之间的相互连接.
主要方法:
- 数学证明最大产品推理运算的关联性.
- 介绍了对连续事件序列的同等整体事件过渡矩阵的概念.
- 一种使用基于方程系统的技术和随机梯度下降算法的三步识别方法.
主要成果:
- 建立了多事件SFDES识别的理论框架.
- 演示了模糊自动机计数和发生频率的计算.
- 揭示了学习,相当整体和目标事件过渡矩阵之间的新型相互联系.
结论:
- 拟议的方法提供了一个强大的方法来识别多事件的SFDES.
- 同等的整体事件过渡矩阵的概念对于连续事件分析至关重要.
- 这项研究为理解和建模复杂的顺序模糊系统开辟了新的途径.
相关概念视频
Classification of Systems-II
137
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,
137
Multi-input and Multi-variable systems
105
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...
105
Classification of Systems-I
177
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
177
Multimachine Stability
150
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
150
BIBO stability of continuous and discrete -time systems
375
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....
375
Feedback control systems
298
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...
298


