Все публикации

Problem 19.1: LMIs1:05:04

Problem 19.1: LMIs for H2 optimal output-feedback controller synthesis

Problem 4.4: Derivation0:21:22

Problem 4.4: Derivation of Riccati differential equation by completion of squares

Problem 7.2: closed-loop0:14:03

Problem 7.2: closed-loop pole locations via spectral factorization

Problem 19.2: LMIs0:16:10

Problem 19.2: LMIs for Hinf optimal state-feedback controller synthesis with pole-region constraints

Problem 18.2: Computation0:24:05

Problem 18.2: Computation of H2 and Hinf norm with Linear Matrix Inequalities (LMIs)

Problem 17.1: Tracking0:47:42

Problem 17.1: Tracking and disturbance rejection tradeoffs in Hinf optimal control design

Problem 7.3: Is0:20:48

Problem 7.3: Is a given state-feedback controller optimal for some cost?

Problem 18.0: Linear0:20:28

Problem 18.0: Linear Matrix Inequalities define a convex feasibility set

Robust Control, LMIs1:24:18

Robust Control, LMIs for output-feedback synthesis and application on ACC benchmark problem

Problem 6.3: Solution0:16:57

Problem 6.3: Solution of algebraic Riccati equation via the Hamiltonian matrix

Problem 5.2: Tuning0:11:08

Problem 5.2: Tuning knobs in the finite horizon optimal control problem for a toy example

Problem 4.1: Riccati0:15:49

Problem 4.1: Riccati Differential equation for a toy Linear Quadratic Regulator Problem

Problem 12.1: Sub-multiplicative0:03:06

Problem 12.1: Sub-multiplicative rule for matrix norms (induced norms)

Problem 9.2: LQG0:25:11

Problem 9.2: LQG control on a toy example

Problem 9.3: LQG0:12:04

Problem 9.3: LQG controller feedback loops with input disturbance

Problem 7.1: solution0:30:55

Problem 7.1: solution (by pen and paper) of the algebraic Riccati equation for a toy example

Problem 16.1: Conservatism0:14:12

Problem 16.1: Conservatism involved in a 3X1 block generalized plant Hinf norm condition

Problem 7.4: Spectral0:15:25

Problem 7.4: Spectral factorization, Hamiltonian system and symmetric root-locus

Problem 17.2: Hinf0:53:58

Problem 17.2: Hinf optimal control design for vertical dynamics of an aircraft

Problem 4.3: Quadratic0:31:23

Problem 4.3: Quadratic minimization and completing squares

Problem 15.1, 15.30:57:54

Problem 15.1, 15.3 and 15.4: Computations of the H2 and Hinf norm

Problem 11.1, 14.11:04:08

Problem 11.1, 14.1 15.2 and 16.2: (LQG)/H2 optimal control of vertical dynamics of aircraft

Problem 13.3: Singular0:09:56

Problem 13.3: Singular Value Decomposition(SVD) example for data

Linear Matrix Inequality(LMI)0:11:58

Linear Matrix Inequality(LMI) for testing stability of a Linear Time Invariant (LTI) system with cvx

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