Linear Control Systems

Linear Control Systems

COURSE DESCRIPTION:  (Prerequisite, EEL 3123C, including diff equations, Laplace transform techniques, circuit transfer functions, network theory).  Control system theory, including dynamic system representation in terms of differential equations and transfer functions, Mason's rule for transfer function determination, linearization, the response of first and second order systems (bandwidth, rise time, settling time), control system characteristics (speed of response, disturbance rejection, steady state accuracy, and sensitivity to parameter variations), root locus analysis, Routh-Hurwitz and Nyquist stability criteria, relative stability (gain margin and phase margin) from Nyquist and Bode diagrams, and design of lead and lag compensators for control systems.  See page three for the order of coverage of course material.

INSTRUCTOR:                      Michael G. Haralambous

TEXT:

FEEDBACK CONTROL SYSTEMS, C. Phillips and R. Harbor, Prentice-Hall, 2000.

REFERENCES:

MODERN CONTROL SYSTEMS, R. Dorf and R.H. Bishop, Addison-Wesley

MODERN CONTROL SYSTEMS ANALYSIS AND DESIGN, R.H. Bishop, 1997

MODERN CONTROL ENGINEERING, K. Ogata, Prentice-Hall.

FEEDBACK AND CONTROL SYSTEMS, Schaum's Theory and Problems.

CONTINUOUS AND DISCRETE CONTROL SYSTEMS, J. Dorsey, McGraw-Hill, 2002.

USING MATLAB TO ANALYZE AND DESIGN CONTROL SYSTEMS, by N.E. Leonard and W.S. Levine,

published by Addison-Wesley, 1995.

Several other references on control systems can be found in the library.  You may refer to http://classes.cecs.ucf.edu/eel3657/haralambous for supplementary material; this is not required reading, but may be helpful.

Class Notes :

• Using Matlab

1. Introduction to Linear Control Systems
2. Antenna Azimuth Angle Control System
3. Complex Numbers
4. Complex Numbers and Laplace Transforms
5. Frequency Response of a System
6. Cauchy's Principle of the Argument, with an Example
7. Applications of Laplace Transforms, Sinusuidal Steady State Analysis and Settling Time
8. Final Value Theorem
9. Mason's Rule, with examples
Linearization
11. Block diagram, signal flow graph, & application of Mason's Rule for RLC circuit
12. Mason's Rule
13. Another Mason's rule example
14. Straight Line Bode Plots
15. Servo Systems
16. Bode Diagram example
17. Straight Line Bode Plots and Mason's Rule
18. Straight Line Bode Diagrams
19. Example - Straight Line Bode Diagram
20. Block Diagram Reduction Table with Example
21. The Servomotor
22. Determinants, Transfer Functions, and Cramers's Rule
23. State Variable Models
Root Locus & Nyguist Example from Dorsey's book
25. Stable, Marginally Stable, and Unstable Systems, I
26. Stable, Marginally Stable, and Unstable Systems, II
27. The Routh-Hurwitz Stability Criterion
28. Root Locus Construction
29. Root Locus Examples
30. Various Root Locus Plots
31. Disturbance Rejection
32. Control System Sensitivity
33. Response of First Order Systems
34. Second Order Systems
35. First and Second Order Systems
36. Steady State Error
37. Problem 10.8.1.3 of Dorsey: Drawing the Nyguist
38. Root Locus Design Example from Dorsey's Book
39. An example, with introduction to Root Locus, Cauchy's Principle, Nyquist Diagram, and Step Response.
40. Nyquist Diagram Summary
41. Gain Margin, Phase Margin, and 180 Degree Phase Crossover
42. Nyquist Stability Criterion with Example 3-04-03
43. Stability Example
44. Nyquist Stability, Lag and Lead Compensators
45. First Order Lag Compensators
46. Op-Amps
47.  Derivation of a Schematic for a DC Motor
48. Straight Line Bode Diagram to Transfer Function
49. Relating Nyquist diagram, Bode diagrams, & root locus
50. Laplace Transform
51. Apendix B 

Introduction to Neural Networks

Introduction to Neural Networks 







Topics covered: 

Artificial Neural Network Theory, models and architectures, neurobiological basis, learning theory, applications and hardware implementation issues.

Textbook:

Applications of Neural Networks in Electromagnetics (first 6 chapters) by Christos Christodoulou, and Michael Georgiopoulos, Artech House, 2001 (recommended).

Useful References:

Introduction to Neural Networks, by J. M. Zurada, West Publishing Company, 1992.

Neural Networks, A Comprehensive Foundation, by Simon Haykin, Prentice Hall, second edition, 2001.

Neural Network Design, by Hagan, Demuth and Beale, PWS Company, 1996.

Perceptrons (Expanded Edition), by Minsky and Papert, 1988.

Pattern Recognition Principles, by Duda and Hart, 2001.

Instructor:

Dr. Michael Georgiopoulos, Engineering Building 1, Room 407, Te; (407) 823-5338, E-Mail: michaelg@mail.ucf.edu

Objectives:

The objectives of this course is to examine the fundamental concepts of neural network computing from the theoretical, as well as from the applications point of view. A variety of neural network architectures with their associated learning algorithms are going to be examined thoroughly. Furthermore, successful applications of neural networks will be discussed. Comparisons of the neural network architectures with already existing approaches will be conducted, whenever data are available.

Prerequisites by Topic:

From the catalog data, it appears that the course has as a prerequisite the Pattern Recognition class (EEL 5825). Although having a background in pattern recognition will help you understand the material of the course faster, EEL 5825 is not a hard prerequisite. In other words, the material presented in this class is self-contained. The mathematical prerequisites are the standard calculus courses, material that is normally covered in the first two years of the standard engineering, computer science, or physics curriculum. Finally, to achieve the full benefit of the material some programming experience in a high-level language, such as C, C++, Fortran or MATLAB is needed.

Course Outline:

Introduction to Neural Networks:

• Preliminaries
• Benefits of Neural Networks
• Types of Activation Functions
• Multi-Layer Feed-Forward Networks
• Learning Procedures (Supervised, Unsupervised, Hybrid Learning)
• Learning Tasks (Association, Pattern Classification, Clustering, Prediction)
• Knowledge Representation
• Brief History of Neural Networks

Single-Layer and Multi-Layer Perceptrons

• The Single-Layer Perceptron
• Perceptron Learning Algorithm
• A Geometrical Interpretation of the Perceptron Learning Algorithm
• Adaline Network
• Multi-Layer Perceptron
• The Back-Propagation Algorithm
• Issues with the Back-Propagation Algorithm
• Variations of the Back-Propagation Algorithm
• Applications

Radial Basis Functions – Kohonen Networks

• Preliminaries of Radial Basis Function Networks
• Learning Strategies with Radial Basis Function Networks

Ø  Fixed Centers selected at random.

Ø  Self-Organized selection of centers

Ø  Supervised selection of centers

Ø  Supervised selection of centers and variances

• A Radial Basis Function Neural Network Algorithm
• Issues with Radial Basis Function Learning
• The General Regression Neural Network (GRNN)
• Applications

Adaptive Resonance Theory Neural Networks

• The Fuzzy ARTMAP Neural Network
• The Fuzzy ARTMAP Architecture
• Operating Phases of the Fuzzy ARTMAP Architecture
• Geometrical Interpretation of the Fuzzy ARTMAP Learning
• Properties of Learning in Fuzzy ARTMAP
• Applications

Recurrent Neural Networks (or other topic)

• Preliminaries of Associative Memories
• The Hopfield Model
• Optimization Problems using the Hopfield model
• The RTRL Neural Network
• The Elman Neural Network

Notes :

 Backpropagation
 Neuron Model and Network Architectures
 Chapter 1 Notes
Chapter 2 Notes
Chapter 3 Notes
Chapter 4 Notes
Chapter 5 Notes

Analog Electronics

Instructor:	Raymond Frey, Wil 405, 346-5873, rayfrey@cosmic.uoregon.edu
Text:	The Art of Electronics, 2nd Ed., Horowitz and Hill; Instructor's lecture notes

Topics :

We will cover the following topics:

• passive analog circuits, resistors, capacitors, and inductors, and their analysis in time
and in frequency using the method of complex impedance
• diodes and transistors; basic transistor circuits; FETs
• operational amplifiers ("op amps"); negative and positive feedback
• applications of the above, including amplifiers, filters, oscillators, radio and phase-locked loop

This material corresponds to most of Chapters 1, 2, and 4 of the text, with some material from Chapters 3, 5, 9, and 13. The text does not provide a linear exposition of the subject matter, starting from basics and coherently working up, as is typically found in physics texts. (In fact, I know of no such text for electronics.) However, the text is very comprehensive and makes an excellent reference. But it does require some work to keep the main concepts in focus. To facilitate this, I will provide lecture notes which will be handed out in class and will be available from this web page.

Notes :

TOPICS/TEXT

Introduction; Voltage dividers; Thevenin theorem text 1.0-1.20; Lecture Notes 1 (ps) or (pdf)

linear devices; AC circuits & calculations; complex impedance; text 1.21-1.34, App A; Lecture Notes 2 (ps) or (pdf) ; Lecture Notes 3 (ps) or (pdf)

Frequency domain calculations (contd.); diodes; transistors; text 2.0-2.14; Lecture Notes 4 (ps) or (pdf)

transistor circuits; text 2.15-2.25; Lecture Notes 5 (ps) or (pdf) ; Lecture Notes 6 (ps) or (pdf)

transistor circuits; FETs text 3.0-3.03 (browse); Lecture Notes 7 (ps) or (pdf)

Differential amplifiers, Op-amps; text Ch 4 thru 4.12 ; Lecture Notes 10 (ps) or (pdf)

Midterm Exam Thursday Nov 4  (Do the practice exam!)

Op-amp circuits; feedback ; Lecture Notes 9 (ps) or (pdf)

pos. feedback and oscillators; Lecture Notes 10 (ps) or (pdf)

"radio": modulation and detection, AM, phase, and FM; phase-locked loops ; Lecture Notes 11 (ps) or (pdf)

Projects due this week; writeups due Friday Dec 10 5PM

Orbital Mechanics

Orbital Mechanics







Aerospace Engineering
University of Central Florida


Prerequisites: EGN 3321 Dynamics and MAP 2302 Differential Equation

TEXTBOOK:

David A. Vallado, Fundamentals of Astrodynamics and Application, 2nd Edition, Kluwer Academic Publishers

REFERENCE:

Jerry J. Sellers, Understand Space-An Introduction to Astronautics, McGraw-Hill, 1994.

William E. Wiesel, Spaceflight Dynamics, 2nd Ed., McGraw-Hill, 1995.

INSTRUCTOR:

Dr. Kuo-Chi "Kurt" Lin, P.E. 

PREREQUISITES BY TOPICS:

• Dynamics of particles and rigid bodies.
• Analytical Geometry and Differential Equation.

COURSE OBJECTIVES:

• Understand the fundamentals of two-body problem.
• Understand the fundamental of orbital equation.
• Understand the definition and the formulas to calculate orbital elements.
• Understand the principles of orbital transfer.
• Understand the principles of satellite operation.

TOPICS:

• Particle Dynamics
• Two-Body Problem
• Earth Satellite Operations

Notes :

1.     Conic Section (from http://www.sisweb.com/math/algebra/conics.htm)

2.     Ellipse Geometry

3.   Classical Orbital Elements

4.   Orbital Plan Orientation

5.     Two-dimensional Coordinate Conversion Example

6.     Conversion from Orbital Coordinates to Inertial Coordinates

7.     Launch Time

8.   Spherical Trigonometry

Hydrology

Hydrology

DEFINITION:	Hydrology is a study of the waters of the earth, their distribution, characteristics and effects.
OBJECTIVE:	To increase knowledge on the application of hydrology, fluid mechanics, computer and engineering principles to water resources problems. The economics and engineering of systems for design, control, utilization of water resources is stressed. Specific attention is given to comprehensive water designs and stormwater management.
FACULTY:	Mr. Jeff Earhart, P.E.

TEXT:	Hydrology: Water Quantity and Quality Control, Second Edition M. Wanielista, R. Kersten, and R. Eaglin J. Wiley & Sons, 1997
SUPPLEMENTAL TEXTS:	Applied Hydrology, Chow, Maidment and Mays, McGraw Hill, 1988. National Council of Examiners for Engineering and Surveying, Fundamentals of Engineering (FE) Supplied-Reference Handbook, 5th Edition (© 2001), available for free as a pdf from http://www.ncees.org/.

 Lectures Note:

Homework Solutions	Lecture Presentations/Materials
Homework 1	Lecture 1 - 05/11/04
Homework 2	Lecture 2 - 05/18/04
-	Binomial Distribution (Excel Spreadsheet)
Homework 3	Lecture 3A - 05/25/04
-	Lecture 3B - 05/25/04
-	Lecture 4 - 06/01/04
-	Exam 1 Review - 06/01/04
Homework 4	Lecture 5A - 06/15/04
-	Lecture 5B - 06/15/04
-	Time of Concentration (Excel Spreadsheet)
Homework 5	Lecture 6A - 06/22/04
-	Lecture 6B - 06/22/04
-	Lecture 7 - 06/29/04
Homework 6	TBA
Homework 7	TBA
Homework 8	TBA

Hydrology

Hydrology

University of Central Florida
Civil and Environmental Engineering

Prerequisites: STA3032, CWR3201

Hydrologic cycle, probabilistic forecasting, rainfall excess meteorology, groundwater, storm-water runoff, flood routing and design applications

Instructor: Dr. Wanielista, 

Adobe Acrobat is required to read many files on this website. Adobe Acrobat Reader can be downloaded for free from http://www.adobe.com

COURSE OUTLINE 

STARTING

or TEST DATE        READING                 TOPICS

8/22/2005                    Ch 1,               Introductions: Course Requirements, TMDL

Hydrologic Cycle, Rainfall Excess, Meteorology

and Hydrology Units

8/29                             Ch 2                Probability and Statistics

9/7                               Ch 3                Precipitation: Intensity, Duration, Return Period,

Hyetographs

9/12                             Ch 4                Hydrologic Abstractions:  Evaporation,

Transpiration, Depression Storage

9/21                                                     TEST #1 – All Previous Material

9/26                             Ch 4, 5                        Watershed Characteristics, Streamflow

Hydrographs and Flow Measurement

10/3                             Ch 7, 5                        Streamflow, Hydrographs, Base Flow, Infiltration

10/10                           Ch 6                Unit Hydrograph Methods, Synthetic Hydrographs

10/17                           Ch 6, 7            Synthetic Hydrographs, Rational Method, SCS

Procedure Santa Barbara

10/26                                                   TEST #2 – All Previous Material               

10/31                           Ch 8                Flood and Reservoir Routing, Measurements

11/7                             Ch 9                Groundwater Hydrology Concepts, Models, Local

Conditions, Testing Procedures

11/14                           Ch 10              Stormwater Management Alternatives, Retention,

                                                            Detention, Swale Design, BMPs etc.

Lectures: 

All lecture notes and learning objectives for the hydrology class are included in the related lecture note links. Students should be familiar with these notes.

Chapter 1	Introduction	Learning Objectives
Chapter 2	Probability and Statistics	Learning Objectives
Chapter 3	Precipitation Lecture	Learning Objectives
Chapter 4	Evaporation and Transpiration	Learning Objectives
Chapter 5	Watershed Characteristics - Soils, CN
Chapter 5A	Watershed Characteristics - TC, Green, and Horton	Learning Objectives
Chapter 5B	Watershed Characteristics - Applications	Learning Objectives
Chapter 6	Hydrograph Generation - Streamflow and Unit Graph	Learning Objectives
Chapter 6A	Synthetic Hydrographs
Chapter 7	Flow Measurements	Learning Objectives
Chapter 8	Flow Routing	Learning Objectives
Chapter 9	Groundwater Hydrology	Learning Objectives
Chapter 10	Stormwater Management Practices	Learning Objectives
Chapter 10	Draft of Mass Balance (excel spreadsheet) Volume Control (powerpoint presentation)

Figure 6.1b for Problem 30
Figure 6.1b for Problem 30 unit graph
Example Problem 6-3 on page 203
Figure 6-8 Logarithm Method
Riser Weir Example
Rational Formula Hydrograph
Lab 8 Data




Textbook Errata

Electronic Instrumentation

Electronic Instrumentation

Texts 

Required:

• None

Recommended:

1. Course notes (in this website or the bookstore)

2. Electronic Principle, Malvino, 6^th Edition. (EE221 Text Book)

3. Microelectronic Circuits, Sedra & Smith, 3^rd Edition (in Engineering Library, 2 hrs loan)

4. Microelectronic Circuits & Devices, Horenstein, (in Engineering Library, 2 hrs loan)

            5. Applied Electronic Instrumentation and Measurement, David Buchla & Wayne McLachlan. (in Engineering Library, 2 hrs loan)

            6. Principles of Engineering Instrumentation, DC Ramsay, Arnold Publishing (Co-published by Halstead Press) 1996.

Instructors 

Professor

Anh Dinh

Class Lectures & Notes

Topics Covered Notes  Slides  Review Op-amp op-amp op-amp Negative Feedback feedback feedback Oscillators oscillators oscillators Filters filters filters Power Supply power supply power supply Measurement and Standards measurement measurement Transducers transducers transducers Noise and Noise-Reduction Techniques noise noise Measurement of Temperature, Pressure and Motion temperature, pressure temperature, pressure Digital Instrumentation digital digital