Human standing balance is a complex of systems, like the muscles, nervous system and sensory systems, interacting with each other in a closed loop to maintain upright stance. With age, disease and medication use these systems deteriorate, which could result in impaired balance. In this paper, it is demonstrated that multi-input-multi-output closed loop system identification techniques (MIMO-CLS...

HPFT HPFTP This paper presents the; theoretical foundation and HPOP application of two univariate failure detection HPOT algorithms to Space Shuttl,; Main Engine (SSME) test LPFP firing data. Both algorithms were applied to data LPOP collected during steady-sutte operation of the engine, m One algorithm, the time s_'.ries algorithm, is based on MCC time series techniques and involves the comput...

The work here explores new numerical methods for supporting a Bayesian approach to parameter estimation of dynamic systems. This is primarily motivated by the goal of providing accurate quantification of estimation error that is valid for arbitrary, and hence even very short length data records. The main innovation is the employment of the Metropolis–Hastings algorithm to construct an ergodic M...

A system identification methodology that makes use of data mining techniques to improve the reliability of identification is presented in this paper. An important aspect of the methodology is the generation of a population of candidate models. Indications of the reliability of system identification are obtained through an examination of the characteristics of the population. Data mining techniq...

Since many existing systems have been still working even these system have several problems in extending or maintaining. This is big obstacle for company to adopt the product line engineering. Extractive approach can be alternative approach when the company has their own system and adopt product line engineering. In extractive approach, commonality and variability modeling is critical also. In ...

The adaptive fuzzy and fuzzy neural models are being widely used for identification of dynamic systems. This paper describes different fuzzy logic and neural fuzzy models. The robustness of models has further been checked by Simulink implementation of the models with application to the problem of system identification. The approach is to identify the system by minimizing the cost function using...

identifying the change trends in forms of land surface is one of the main topics in geomorphic system. in this view, we try to assess the stability level of geo systems, boundary changes, instability and prediction of surface forms and processes response. this paper tries to conduct a comparative analysis on the geomorphic equilibrium paradigms, critical thresholds, environmental and natural ha...

the purpose of this study was to estimate the torque from high‑density surface electromyography signals of biceps brachii, brachioradialis, and the medial and lateral heads of triceps brachii muscles during moderate‑to‑high isometric elbow flexion‑extension. the elbow torque was estimated in two following steps: first, surface electromyography (emg) amplitudes were estimated using principal com...