334 ece homework solution
Courses taught in the. Department of Electrical and Computer Engineering. North Dakota State University. Syllabus: Spring
Electrical Engineering
This is a graduate-level course on linear dynamical systems with an emphasis on state-space modeling in both discrete and continuous time.
Topics covered include equilibrium points and linearization, natural and forced responses, canonical forms and transformations, controllability and observability, control-theoretic concepts such as pole placement, stabilization, dynamic compensation, and the separation principle.
The official prerequisite is MATH ECE , or Instructor: Laurent Lessard. Submitting assignments: Gradescope. Discussion forum: Piazza. Note: Only the rows containing a date are guaranteed to be current.
All other rows contain notes from the offering of this course for your reference. Topics covered this year may change at my discretion. We will make use of the following textbook throughout the class. Robert L. Williams II and Douglas A. Linear State-Space Control Systems.
When the textbook does not perfectly match what we cover in class, we will provide additional supplements to the textbook. Several other textbooks can serve as auxiliary references. For linear algebra, I recommend: Gilbert Strang. Linear algebra and its applications. Sheldon Axler.
Linear algebra done right. For linear systems, I recommend: Panos J. Antsaklis and Anthony N. Linear systems. Chi-Tsong Chen. Linear system theory and design.
You will not need these books. Linear Systems ECE , Fall —20 University of Wisconsin—Madison This is a graduate-level course on linear dynamical systems with an emphasis on state-space modeling in both discrete and continuous time.
Course material Administrative Resources Note: Only the rows containing a date are guaranteed to be current. Introduction and state-space models Thu Sep 5 pages 2. General models and linearization Tue Sep 10 pages 3. Solution of state equations Thu Sep 12 pages and 4.
The impulse response Thu Sep 19 pages 5. Diagonalization and modal form Tue Sep 24 pages and 6. Controllability Thu Sep 26 pages and 7. Controllability part 2 Tue Oct 1 pages and 8. Kalman canonical form Tue Oct 15 see here Intro to stability Thu Oct 17 pages Lyapunov theory Tue Oct 22 pages State feedback Thu Nov 7 pages , , and Transient response Tue Nov 12 pages Steady-state tracking Thu Nov 14 pages Observers Tue Nov 19 pages Separation property Thu Nov 21 pages Linear Quadratic Regulator pages Homework 1 : state-space models Sep 18 solutions 2.
Homework 2 : state-space solutions Oct 2 solutions 3. Homework 3 : realization theory Oct 23 solutions 4. Homework 4 : stability Oct 30 solutions 5. Homework 5 : state feedback Nov 25 solutions 6.
You will have at least one week to complete each assignment. Each will be graded coarsely e. This is to give you a chance to apply the material we learn and to practice your skills. All assignments must be submitted through Gradescope. I will also post solutions to the class website afterward. The exams will be closed-book and closed-notes and will happen either during lecture or in the evening the same day as lecture. The exam dates are: October 8, November 5, and December Tentative syllabus: The course is divided in three roughly equal parts and there is an exam after each part.
Here is a tentative list of topics covered in each part. Part I: state-space fundamentals. State-space models and modeling of physical systems, transfer functions, linearization, system responses, coordinate transformations, controllability and observability, canonical forms. Exam 1. Part II: analysis topics. Exam 2. Part III: design and feedback.
Exam 3. More information about the homework All homework assignments are due by pm on the date indicated. Assignments must be turned in electronically as PDF or images via Gradescope. For a tutorial on how to do this, please watch this video. You may use a typesetting program e.
Word, LaTeX,… or write neatly by hand. Either way, it must end up as a PDF or image files. It is your responsibility to ensure that what you turn in is legible, there are no pages missing, etc.
Start each problem on a new page. Explain your work. If code is required, use intuitive variable names, and comment any code you turn in. You are encouraged to discuss homework problems with classmates and even work in groups. However, the work you turn in must be your own. If you use any external sources e. Late policy: Homework assignments turned in late will not be accepted. It is your responsibility to ensure that you are available and present for the exams.
The dates are already set, so plan accordingly! Exceptions will be made to the rules above in order to accommodate special circumstances. This includes family or medical emergencies, religious observances, and documented disabilities. If you have a special circumstance and foresee a conflict, please email the instructor as soon as possible to make alternative arrangements. Do not email the instructor directly with questions.
Use Piazza or attend office hours! Do not use Piazza to ask for solutions, do not post solutions, and be nice to each other. We will also use Piazza for surveys, polls, or other information-gathering tasks. Textbook: We will make use of the following textbook throughout the class.
get answers to your study questions, and connect with real tutors for ECE Optics at All (15); Assessments; Assignments; Essays; Homework Help (1). All (87); Assessments; Assignments; Essays; Homework Help (21); Lab Reports (2) ECE Fall Midterm 1 Solutions; University of Toronto; Digital.
Work experience which combines classroom theory with practical knowledge of operations to provide students with a background upon which to base a professional career. Enroll Info: None. Requisites: Sophomore standing or member of Engineering Guest Students. Repeatable for Credit: Yes, unlimited number of completions. Last Taught: Spring
C Requires minimum grade of C.
Graduate Teaching Assistant: Parameswari Raju praju3 masonlive. Syllabus
ECE Course Descriptions
This is a graduate-level course on linear dynamical systems with an emphasis on state-space modeling in both discrete and continuous time. Topics covered include equilibrium points and linearization, natural and forced responses, canonical forms and transformations, controllability and observability, control-theoretic concepts such as pole placement, stabilization, dynamic compensation, and the separation principle. The official prerequisite is MATH ECE , or Instructor: Laurent Lessard.
Electrical and Computer Engineering (E C E)
Resistive networks with independent and dependent sources: Ohm's law; Kirchhoff's law; nodal and loop analysis; network theorems; energy storage elements capacitors and inductors ; operational amplifiers; steady state AC analysis; and introduction to PSpice. Transient analysis of RLC circuits; Three-phrase systems; power-factor correction in three-phase power systems; magnetically coupled networks; Operational amplifiers; network frequency response functions and resonance; Fourier series. Introduction to electrical laboratory equipment and instrumentation; analog and digital meters, oscilloscopes, bridges, power supplies, function generators. Measurement of voltage, current and power in DC networks and in single-phase and three-phase AC networks. Verification of Kirchoff's laws. Measurement of resistance, capacitance, and inductance. Corequisite: EE and credit for or concurrent registration in EH Number systems, introduction to basic logic circuits, analysis and design of combinational and sequential logic circuits, HDL based logic circuit simulation and design. Small computer organization, assembly and machine level programming, microprocessor architectures and instruction sets, microprocessor and microcontroller system design, and microprocessor based peripheral interfacing. Modeling of analog and discrete-time signals and systems, time domain analysis, Fourier series, continuous and discrete time Fourier transforms and applications, sampling, z-transform, state variables, analysis of signals and systems and basic filter design, filter implementation using MatLab.
We recommend using the course reader which is simply the lecture slides all together to take notes during class, as it serves as a good skeleton. You can buy a nicely bound copy from the Stanford bookstore or print it yourself.
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Within a small class, student teams explore real engineering designs. Project required. A comprehensive introduction to computer programming with applications to various areas in electrical and computer engineering. The theory of digital circuits and computer systems stressing general techniques for the analysis and synthesis of combinational and sequential logic systems. The course will provide an introduction to computer programming and electronics for students without requiring any prior background in these topics. SI, DU. Complex numbers. First-order differential equations. Matrices and systems of linear equations. Vector spaces and linear transformations. Systems of differential equations.
