Interpretations With noise in the system, the model is of the form =AC+ Bu+ Buw, y= Ca +U And the estimator is of the form =Ai+ Bu+L(y-9,y=Ci e Analysis: in this case: C-I=[AT+ Bu+Buw-[Ac+ Bu+L(y-gI A(-)-L(CI-Ca)+B
State-Space Systems What are the basic properties of a state-space model, and how do we analyze these? e Time Domain Interpretations System Modes Copyright 2001 by Jonathan How
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?
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
Additional copies of the Guidebook for the Preparation of haccP plans and the generic hAcCP Models are available from U.S. Department of Agriculture Food Safety and Inspection Service(FSIS) Office of Policy, Program Development and Evaluation(OPPDE) Inspection Systems Development Division Room 202, Cotton Annex Building
Additional copies of the Guidebook for the Preparation of haccP plans and the generic hAcCP Models are available from U.S. Department of Agriculture Food Safety and Inspection Service(FSIS) Office of Policy, Program Development and Evaluation(OPPDE) Inspection Systems Development Division Room 202, Cotton Annex Building