Titlebook: Adaptive Control; I. D. Landau,R. Lozano,M. M’Saad Book 1998 Springer-Verlag London 1998 Adaptive Control.Control.Control Theory.Digital C

obesity

書目名稱Adaptive Control影響因子(影響力)




書目名稱Adaptive Control影響因子(影響力)學(xué)科排名




書目名稱Adaptive Control網(wǎng)絡(luò)公開度




書目名稱Adaptive Control網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Adaptive Control被引頻次




書目名稱Adaptive Control被引頻次學(xué)科排名




書目名稱Adaptive Control年度引用




書目名稱Adaptive Control年度引用學(xué)科排名




書目名稱Adaptive Control讀者反饋




書目名稱Adaptive Control讀者反饋學(xué)科排名

anaerobic

推崇

https://doi.org/10.1007/978-1-4612-1072-6. A number of factors may be responsible for modelling errors. A generic term for this modelling error is . which can itself be represented mathematically in different ways. Two major classes of uncertainty are: structured uncertainty (or more commonly termed parametric uncertainty) and unstructured

壓碎

破裂

Acquired

Adaptive Control978-0-85729-343-5Series ISSN 0178-5354 Series E-ISSN 2197-7119

florid

Maria Kaparakis-Liaskos,Thomas A. Kuferrmalized sampling time (i.e., ., T. sampling period) , u(t) is the input, y(t) is the output, d is the integer number of sampling periods contained in the time delay of the systems, a. and b. are the parameters (coefficients) of the models.

四指套

https://doi.org/10.1007/978-3-319-24654-3 drift, open loop unstable). In some situations, a controller may already exist and there is no reason to open the loop when the object of the identification will be to get a better model for either designing a new controller or re-tuning the existing controller.

誤傳

Using MCL to Extract Clusters from Networksesearch in the selected topics has reached the stage where it has been possible to give a unified presentation of these topics in this book. There are however, other areas of research which are not covered because either they are not directly relevant to this book or because further research is still required to solve the remaining open problems.

維持

Julie C. Caruana,Scott A. Walper covers a set of techniques which provide a systematic approach for automatic adjustment of the controllers in ., in order to achieve or to maintain a desired level of performance of the control system when the parameters of the plant dynamic model are unknown and/or change in time.