Brief paper: Dynamic scaling and observer design with application to adaptive control
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Immersion and invariance adaptive control of nonlinearly parameterized nonlinear systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Brief paper: Full-order observer design for a class of port-Hamiltonian systems
Automatica (Journal of IFAC)
Nonlinear adaptive control of a chemical reactor
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
2DOF adaptive control of a tubular chemical reactor
CSS'11 Proceedings of the 5th WSEAS international conference on Circuits, systems and signals
A constructive speed observer design for general Euler-Lagrange systems
Automatica (Journal of IFAC)
Chaotification via system immersion
Journal of Computational and Applied Mathematics
Brief paper: On emulated nonlinear reduced-order observers for networked control systems
Automatica (Journal of IFAC)
Modelling and Simulation in Engineering
Backstepping for Nonlinear Systems with Delay in the Input Revisited
SIAM Journal on Control and Optimization
Constructive immersion and invariance stabilization for a class of underactuated mechanical systems
Automatica (Journal of IFAC)
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"Nonlinear and Adaptive Control with Applications" provides a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. The authors employ a new tool based on the ideas of system immersion and manifold invariance. Departing, in part, from the Lyapunov-function approach of classical control, new algorithms are delivered for the construction of robust asymptotically-stabilising and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes. These algorithms cater for nonlinear systems with both parametric and dynamic uncertainties. This innovative strategy is illustrated with several examples and case studies from real applications. Power converters, electrical machines, mechanical systems, autonomous aircraft and computer vision are among the practical systems dealt with. Researchers working on adaptive and nonlinear control theory or on control applications will find this monograph of conspicuous interest while graduate students in control systems and control engineers working with electrical, mechanical or electromechanical systems can also gain much insight and assistance from the methods and algorithms detailed.