It is argued that, for a cautious design, a nonlinear analysis is needed to reveal when and
why linear tools fail. Emerging nonlinear tools that can be used to overcome the limitations …

From the Publisher: Using a pedagogical style along with detailed proofs and illustrative
examples, this book opens a view to the largely unexplored area of nonlinear systems with …

Linear and nonlinear feedback control systems differ fundamentally in a number of
characteristics. It is well known that the most fundamental characteristic of a linear system is …

From the Publisher: An in-depth examination of intelligent approaches to increasing the
accuracy of a variety of system components. Utilizing a unified, adaptive, inverse approach …

Feedback systems containing linear, minimum-phase plants with large parameter
uncertainty may be designed to achieve specified performance tolerances over the entire …

A state feedback dynamic controller is constructed to achieve asymptotic tracking and
disturbance rejection for a class of nonlinear systems regardless of certain plant …

From the Publisher: Stressing the importance of simulation and performance evaluation for
effective design, this new text looks at the techniques engineers use to design control …

Presents a new class of controllers for dynamic feedback linearizable systems which
achieve asymptotic tracking of given state reference trajectories. These controllers are …

In recent years, the availability of powerful low-cost microprocessors has spurred great
advances in the theory and applications of nonlinear control. In terms of theory, major strides …

The authors present a novel nonlinear regulator design method that integrates linear optimal
control techniques and nonlinear neural network learning methods. Multilayered neural …