IRIS

Lateral Vehicle Dynamics Control via Sliding Modes Generation

REGOLIN, ENRICO;FERRARA, ANTONELLA
2017-01-01
2017
Sliding Mode Control of Vehicle Dynamics
Antonella Ferrara (Ed.)
The AI, Robotics & Automatic Control category is concerned with resources on the research and techniques of artificial intelligence; that is, the creation of machines that exhibit characteristics of human intelligence (e.g., efficient representation of knowledge, reasoning, deduction, problem solving, heuristics, and analysis of contradictory or ambiguous information). Related AI technologies include expert systems, fuzzy systems, natural language processing, speech and pattern recognition, computer vision, decision-support systems, knowledge-bases, and neural networks. Robotics resources are concerned with the design, construction, and operation of robots. Automatic Control resources cover the design and development of regulating processes and systems that replace the necessity of human intervention. Topics include adaptive control, robust control, discrete-event control, dynamic control, fuzzy control, and optimal control. Cybernetics resources are concerned with the control and communication within and between artificial (machine) systems and living or natural systems.
WOS:000721750900005
2-s2.0-85114979846
Esperti anonimi
Internazionale
STAMPA
978-1-78561-209-1
IET
vehicle dynamics, lateral dynamics control, stability control, ESP
http://www.theiet.org/resources/books/transport/sliveh.cfm
sì
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
5
268
none
Regolin, Enrico; Savitzky, D.; Ivanov, V.; Augsburg, K.; Ferrara, Antonella
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1195121
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