نتایج جستجو برای: system identification
تعداد نتایج: 2568465 فیلتر نتایج به سال:
1. System Description what we know about the system. Boundary Conditions. Assumptions about the system (behaviour, environment) 2. Inputs, Outputs, Parameters, States Here we define which aspects of the system are measurable, which have a significant effect – What can we set, what can we measure, which do not change over time. Implicitly we also define the time-scale of interest (micro-seconds ...
Relation Type (ART) Fn [ MS, OS ] Outcome Space (OS) Fn [ VS ] ART a system evaluation and analysis technique that separates the existing system structure (in the marking space), from the value assigned to that structure (in value space)
An Application of System Identification to Modeling End-to-End Packet Delay Dynamics of the Internet
The industrial Internet of Things (IoT) is aiming to interconnect humans, machines, materials, processes and services in a network. Wireless Sensor Network (WSN) comprises the less power consuming, light weight and effective Sensor Nodes (SNs) for higher network performance. Radio Frequency Identification (RFID) and sensor networks are both wireless technologies that provide limitless future po...
In this chapter, some numerical optimization methods are presented to search the minimum of the cost functions. A vast amount of literature on this topic is available. Here we stick to only a few methods, that are very well suited to take full advantage of the special structure of the cost functions as they appeared in Chapter 2. 4.
This paper examines the potential role of unit consistency as a system design principle. Unit-consistent generalized matrix inverses and unit-invariant matrix decompositions are derived in support of this principle. Applications of the methods described are illustrated with examples relating to nonlinear system identification and robustness to multiplicative noise for image database retrieval.
In the note the class of block-oriented dynamic nonlinear systems is considered, in particular, Hammerstein and Wiener systems are investigated. Several algorithms for nonlinear system identification are presented. The algorithms exploit various degrees of prior knowledge from parametric to nonparametric. Eventually, a semiparametric algorithm, which shares advantages of both approaches is anno...
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