Topic 8 16.31 Feedback Control State-Space Systems What are state-space models? Why should we use them? How are they related to the transfer functions used in classical control design and how do we develop a state- space model?
16.31 Feedback Control State-Space Systems What are state-space models? Why should we use them? and how do we develop a state-space mode( &ased in classical control design How are they related to the transfer functions What are the basic properties of a state-space model, and how do we analyze these?
Fall 2001 16.313-1 Introduction Root locus methods have Advantages k Good indicator if transient response k Explicity shows location of all closed-loop poles Trade-offs in the design are fairly clear Disadvantages k Requires a transfer function model(poles and zeros) k Difficult to infer all performance metrics k Hard to determine response to steady-state(sinusoids
Abstract-This paper is concerned with the application neural-network based, closed-loop control can be found [12 of quadratic optimization for motion control to feedback For indirect or identification-based, robotic-system control, sev control of robotic systems using cerebellar model arithmetic eral neural network and learning schemes c can be found in the lit
Today's Topics What are we going to study this course? Design Process OCourse information and requirement. How to be an engineer? Methods of learning A brief review of the machine history OHomework
How applications become clients by initiating communication How applications use TCP or UDP protocols to contact a server How they use socket calls to interact with the protocols CSIE, NTUT, Taiwan
Formal design Reviews Associated with each of documentation phases Evaluate with respect to Customer requirements Prescribed standards and practices Contractual requirements
