000			03843nmm a22003015i 4500
005			20230705150652.0
008			150605s2015 sz | s |||| 0|eng d
020			_a9783319164205 _9978-3-319-16420-5
082			_a629.8312 _223
082			_a003 _223
100			_aRigatos, Gerasimos G. _921285
245			_aNonlinear Control and Filtering Using Differential Flatness Approaches _h[electronic resource] : _bApplications to Electromechanical Systems / _cby Gerasimos G. Rigatos.
250			_a1st ed. 2015.
260			_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXXIX, 736 p. 375 illus., 319 illus. in color. _bonline resource.
505			_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			_aControl engineering. _921286
650			_aMechatronics. _921287
650			_aArtificial intelligence. _921288
650			_aComputational intelligence. _921289
650			_aControl and Systems Theory. _921290
650			_aMechatronics. _921287
650			_aArtificial Intelligence. _921291
650			_aComputational Intelligence. _921292
856			_uhttps://doi.org/10.1007/978-3-319-16420-5
942			_cEBK
999			_c13738 _d13738