✦ LIBER ✦

Functional testing of measurement-based control systems: An application to automotive

✍ Scribed by Arsie, I.; Betta, G.; Capriglione, D.; Pietrosanto, A.; Sommella, P.

Book ID: 122603055
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 894 KB
Volume: 54
Category: Article
ISSN: 0263-2241
DOI: 10.1016/j.measurement.2014.03.017

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Methodology to Test Instrument Softwar

A Methodology to Test Instrument Software: An Automotive Diagnostic System Application

✍ Betta, G.; Capriglione, D.; Pietrosanto, A.; Sommella, P. 📂 Article 📅 2008 🏛 IEEE 🌐 English ⚖ 521 KB

Application of a multivariable adaptive

Application of a multivariable adaptive control strategy to automotive air conditioning systems

✍ Rajat Shah; Bryan P. Rasmussen; Andrew G. Alleyne 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 397 KB 👁 3 views

An application of sliding horizon contro

An application of sliding horizon control to an electro-hydraulic automotive seat simulator

✍ Mo, Changki ;Sunwoo, Myoungho ;Yan, Wenzhen 📂 Article 📅 2002 🏛 Springer-Verlag 🌐 Korean ⚖ 791 KB

Sectoral systems of environmental innova

Sectoral systems of environmental innovation: An application to the French automotive industry

✍ Vanessa Oltra; Maïder Saint Jean 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 730 KB

Variational function of the Padé type —

Variational function of the Padé type — an application to a test system

✍ K. V. Sane; R. P. Saxena; P. K. Srivastava 📂 Article 📅 1979 🏛 Indian Academy of Sciences,Royal Society of Chemis 🌐 English ⚖ 222 KB

An application of functional analysis to

An application of functional analysis to time optimal control of linear discrete systems with output constraints

✍ G.M. Krang; M.B. Shilman 📂 Article 📅 1970 🏛 Elsevier Science 🌐 English ⚖ 682 KB

The problem of time optimal control of linear discrete systems tith output constraints is formulated as an L-problem in the theory of moments. The solution to this 1atteT problem is well known and is obtained from a finite-dimensional minimization. This procedure allows us to handle constraints not