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Department of Electrical Engineering and Computer Science 6.003: Signals and Systems--Fall 2003 PROBLEM SET 10 Issued: November 25. 2003 Due: December 5. 2003 REMINDER: Computer Lab 3 is also due on December 5 Reading Assignments
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Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 PROBLEM SET 6 SOLUTIONS Issued: October 21. 2003
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Department of Electrical Engineering and Comput 6.003: Signals and Systems--Fall 2003 PROBLEM SET 6 Issued: October 21 2003 Due: October 29. 2003 Reading assignments Lectures #12-13& PS#6: Chapters 6&7(through Section 7. 2 )of O&w
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 PROBLEM SET 4 SOLUTION Home Study Exercise -o&e W 3.63
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.003: Signals and Systems--Fall 2003 PROBLEM SET 2 SOLUTIONS
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 PROBLEM SET 1 SOLUTIONS (E1)(O&W154) (a) For the r=l case, we have
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 COMPUTER LAB 2 Issued: October 7. 2003
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 COMPUTER LAB 3
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Above, analysis for multivariable control systems with respect to nominal and robust st ability as well as nominal and robust performan has been assessed. It was assumed that the spec- ifications for robustness were given in terms of weight matrices Wu(s) and Wu2(s), and that the performance specifications similarly were given by weight matrices Wpi(s) and Wp2()
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In this chapter, st ability and performance for multivariable systems with uncertainty will be considered. Consider a general multivariable system as depicted in Figure 5.1. All signals will in general be vectors, and G() and K(s) will be transfer matrices. d(s) is an output distur- bance signal and n() represents
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