Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Linear Multivariable Control : A Geometric Approach, Hardback Book

Linear Multivariable Control : A Geometric Approach Hardback

Part of the Stochastic Modelling and Applied Probability series

Hardback

Description

In wntmg this monograph my aim has been to present a "geometric" approach to the structural synthesis of multivariable control systems that are linear, time-invariant and of finite dynamic order.

The book is ad­ dressed to graduate students specializing in control, to engineering scientists involved in control systems research and development, and to mathemati­ cians interested in systems control theory.

The label "geometric" in the title is applied for several reasons.

First and obviously, the setting is linear state space and the mathematics chiefly linear algebra in abstract (geometric) style.

The basic ideas are the familiar system concepts of controllability and observability, thought of as geometric prop­ erties of distinguished state subspaces.

Indeed, the geometry was first brought in out of revulsion against the orgy of matrix manipulation which linear control theory mainly consisted of, around fifteen years ago.

But secondly and of greater interest, the geometric setting rather quickly sug­ gested new methods of attacking synthesis which have proved to be intuitive and economical; they are also easily reduced to matrix arithmetic as soon as you want to compute.

The essence of the "geometric" approach is just this: instead of looking directly for a feedback law (say u = Fx) which would solve your synthesis problem if a solution exists, first characterize solvability as a verifiable property of some constructible state subspace, say Y.

Then, if all is well, you may calculate F from Y quite easily.

Information

Other Formats

Save 13%

£119.99

£104.05

Item not Available
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Stochastic Modelling and Applied Probability series  |  View all