Outline Information Theory Signal Detection Theory Alerting Introduction

Traditional Systems Engineering Process model 16.422 ACQUISITION PHASE UTILIZATION PHASE

Course objectives This is a graduate student class designed to examine the fundamental issues of human supervisory control, wherein humans interact with complex dynamic systems, mediated through various levels of automation this course will explore how humans interact with automated systems of varying complexities, what decision

Reference input -II 16. 3117-23 On page 17-5, compensator implemented with a reference command y changing to feedback on e(t=r(t-y(t) rather than -y(t)

Weighting Matrix Selection a good rule of thumb when selecting the weighting matrices Rxx (or Ru and R uu is to normalize

Deterministic lOR Optimal control and the riccati equation · Lagrange multipliers The Hamiltonian matrix and the symmetric root locus Factoids: for symmtric R

Bounded gain There exist very easy ways of testing(analytically) whether S Gu)< SISO Bounded Gain Theorem: Gain of generic stable system

Model Uncertain Prior analysis assumed a perfect model. What if the model is in correct= actual system dynamics GA(s)are in one of the sets Multiplicative model G,(s=GN(s(1+E(s)) Additive model Gp(S)=GN(S)+E(s) where

MIMO Systems Singular Value Decomposition Multivariable Frequency Response Plots Copyright 2001 by Jonathan How

tate-Space Systems Closed-loop control using estimators and regulators Dynamics output feedback “ Back to reality' Copyright[2001by JOnathan dHow