A biologically inspired approach to tracking control of underactuated surface vessels subject to unknown dynamics. Issue 4 (March 2015)

• Record Type: Journal Article
• Authors: Pan, Chang-Zhong; Lai, Xu-Zhi; Yang, Simon X.; Wu, Min
• Is Part Of: Expert systems with applications. Volume 42:Issue 4(2015)
• Page Start: 2153
• Page End: 2161
• Publication Date: 2015-03
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.09.042
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st075">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0205">The tracking control problem of underactuated surface vessels is studied.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0210">A biologically inspired approach is proposed using backstepping, neurodynamics model and NN.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0215">The control algorithm is efficient as no time derivatives of virtual controls are needed.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0220">The NN learning algorithm derived from Lyapunov theory is computationally efficient.</p> </list-item> <list-item id="u0025"> <label></label> <p id="p0225">The control performance is shown to be faster and better than other approaches.</p> </list-item> </list> </p> </sec> </abstract>