This paper presents a general methodology for such adaptive control using multiple models, switching, and tuning. The approach was first introduced by Narendra et al. (1992) for improving the transient response
Keywords:nonlinear;multiplemodels;adaptive;zeroorderproximityboundedness;globalconvergence 0引引引言言言 对于非线性系统的控制问题,由于其模型的复杂 性和数学工具的缺乏,目前还没有统一的研究方法 [1] . 自适应控制策略能够针对复杂模型自动改变控制器 参数,因而获得较好的控制效果 [2-3] .但对于某些快时 变、参...
Balakrishnan Adaptive control using multiple models IEEE Trans. on Automatic Control, 42 (1997), pp. 171-187 View in ScopusGoogle Scholar Tang et al., 2007 X.D. Tang, G. Tao, S.M. Joshi Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application ...
Adaptive control: regimes of operation ? Identification in closed and controller redesign ? Adaptive regulation ? Use of a priori available information ? Adaptive control with multiple models ? Example of applications Adaptive Control – Landau, Lozano, M’Saad, Karimi Conceptual Structures Desired ...
Adaptive control using neural network approximate models. 3.1. Learning Algorithm The process of training consists in modifying the weights in an organized way using an appropriate algorithm. During the training process, a specified number of inputs and their desired output are introduced in the netwo...
Both the Adaptive MPC Controller block and the Multiple MPC Controllers block enable your control system to adapt to changing operating conditions at run time. The following table lists the advantages of using each block. BlockAdaptive MPC ControllerMultiple MPC Controllers Adaptation approach Update pre...
FMCW Radar Range, Speed, and Angle Estimation of Multiple Targets:slexFMCWMultiTargetsDOAExample.slx FMCW Radar Range Estimation The following model shows an end-to-end FMCW radar system. The system setup is similar to the MATLAB®Automotive Adaptive Cruise Control Using FMCW Technologyexample. The...
It is assumed that the system operates in multiple environments which may change abruptly from one sub-model to another. That is, (Aj,Bj)⊂M={(A1,B1),(A2,B2),...,(AN,BN)} with N is the number of sub-models which is generally unknown. The goal is to design the control input ...
The transportation of essential items, such as food and vaccines, often requires adaptive multi-temperature control to maintain high safety and efficiency. While existing methods utilizing phase change materials have shown promise, challenges related to
ACC with Sensor Fusion, which models the sensor fusion and controls the longitudinal acceleration of the vehicle. This component allows you to select either a classical or model predictive control version of the design. A Vehicle and Environment subsystem, which models the motion of the ego vehicle...