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Nonlinear H2/H-Infinity Constrained Feedback Control : A Practical Design Approach Using Neural Networks
In this book the authors present algorithms for H2 and H-infinity design for nonlinear systems which, unlike earlier theories, provide solution techniques for the core Hamilton–Jacobi equations that yield control systems which can be implemented in real systems; neural networks are used to solve the nonlinear control design equations.
Constrained Control and Estimation : An Optimisation Approach
Using the principal tools of prediction and optimisation, this work gives the examples of how to deal with constraints, placing emphasis on model predictive control. It contains results that combine a number of methods, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods.
