000 04776nam a22005175i 4500
001 978-3-319-16420-5
003 DE-He213
005 20200421111843.0
007 cr nn 008mamaa
008 150605s2015 gw | s |||| 0|eng d
020 _a9783319164205
_9978-3-319-16420-5
024 7 _a10.1007/978-3-319-16420-5
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aRigatos, Gerasimos G.
_eauthor.
245 1 0 _aNonlinear Control and Filtering Using Differential Flatness Approaches
_h[electronic resource] :
_bApplications to Electromechanical Systems /
_cby Gerasimos G. Rigatos.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXXIX, 736 p. 375 illus., 319 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v25
505 0 _aNonlinear dynamical systems and global linearizing control methods -- Differential flatness theory and flatness-based control -- Nonlinear adaptive control based on differential flatness theory -- Nonlinear Kalman Filtering based on differential flatness theory -- Differential flatness theory and industrial robotics -- Differential flatness theory in mobile robotics and autonomous vehicles -- Differential flatness theory and electric power generation -- Differential flatness theory for electric motors and actuators -- Differential flatness theory in Power Electronics -- Differential flatness theory for internal combustion engines -- Differential flatness theory for chaotic dynamical systems -- Differential flatness theory for distributed parameter systems -- Differential flatness theory in the background of other control methods.
520 _aThis monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows how differential flatness theory can provide solutions to complicated control problems, such as those appearing in highly nonlinear multivariable systems and distributed-parameter systems. Furthermore, it shows that differential flatness theory makes it possible to perform filtering and state estimation for a wide class of nonlinear dynamical systems and provides several descriptive test cases. The book focuses on the design of nonlinear adaptive controllers and nonlinear filters, using exact linearization based on differential flatness theory. The adaptive controllers obtained can be applied to a wide class of nonlinear systems with unknown dynamics, and assure reliable functioning of the control loop under uncertainty and varying operating conditions. The filters obtained outperform other nonlinear filters in terms of accuracy of estimation and computation speed. The book presents a series of application examples to confirm the efficiency of the proposed nonlinear filtering and adaptive control schemes for various electromechanical systems. These include: �         industrial robots; �         mobile robots and autonomous vehicles; �         electric power generation; �         electric motors and actuators; �         power electronics; �         internal combustion engines; �         distributed-parameter systems; and �         communication systems. Differential Flatness Approaches to Nonlinear Control and Filtering will be a useful reference for academic researchers studying advanced problems in nonlinear control and nonlinear dynamics, and for engineers working on control applications in electromechanical systems.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aControl engineering.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aMechatronics.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputational Intelligence.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319164199
830 0 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v25
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-16420-5
912 _aZDB-2-ENG
942 _cEBK
999 _c55651
_d55651