July 2022--present

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University of California San Diego

Department of Mechanical and Aerospace Engineering 

​Experimental Techniques

• ​MAE 170: Experimental Techniques (Fall 2022, Fall 2023)

 

Principles and practice of measurement and control and the design and conduct of experiments.Technical report writing. Lectures related to dimensional analysis, error analysis, signal-to-noise problems, filtering, data acquisition and data reduction, as well as background of experiments and statistical analysis. Experiments relate to the use of electronic devices and sensors.

 

Prerequisites: grade of C– or better in Physics 2C and (Physics 2CL or MAE140) and (MAE08 or CENG15). Enrollment restricted to engineering majors only.

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• MAE 143B: Linear Control (Spring 2023, Spring 2024)

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This course focuses on modeling of dynamic systems and design of controllers that process sensor measurements and cause a single-input and single-output dynamic system to meet tracking accuracy and disturbance rejection specifications. Topics include lumped parameter modeling review and system specs, Laplace transform, block diagram reduction, root locus, frequency responses, steady state errors, stability analysis and design of compensators.

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Textbook (optional): Control Systems Engineering, 7th ed. by Norman S. Nise, published by Wiley.   

Prerequisites/Corequisites: MAE 143A or consent of instructor

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• MAE 200: Controls (Winter 2024)

 

This course educates students in the principles of state-space theory applied to linear systems. It encompasses a range of topics including the development of state-space models, examining controllability and observability, as well as controller design for pole placement. Moreover, the course revisits important concepts in linear algebra and matrix theory, highlighting their significance in state-space theory. The course also discusses linear quadratic functions in relation to Lyapunov stability theory. Computational aspects of the course will be conducted using MATLAB.

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Textbooks (optional): Brogan, Modern Control Theory 3rd edition, Prentice Hall, 1990. DeRusso et al, State Variables for Engineers 2nd edition, Wiley Interscience, 1998

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Prerequisites/Corequisites: Nongraduate students may enroll with the consent of the instructor.

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September 2017-- July 2022

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Rensselaer Polytechnic Institute Troy New York

Department of Mechanical Aerospace and Nuclear Engineering

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• MANE 4050/4500: Modeling and Control of Dynamic Systems (Undergraduate Level)

MANE 4050/4500   teaches students to model dynamic systems and design controllers for a variety of electrical, mechanical, robotic, and aerospace applications. There is a laboratory component for this course that emphasizes the hands-on application of the concepts taught in class (MANE 4050). The  topics in this course are: Lumped parameter modeling review (Electrical and Mechanical Systems) and system specifications; Laplace transforms; Block diagram reduction; Root locus; Frequency response; Steady-State Errors; Stability Analysis; and, Design of feedback controllers (PI, PD, PID, Lead-Lag controllers).

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Textbook (optional): Control Systems Engineering, 7th ed. by Norman S. Nise, published by Wiley.   

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Prerequisites/Corequisites: MATH 2400, PHYS 1200 .   

 

• ENGR 2090: Engineering Dynamics (Sophomore Level)    

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ENGR 2090 is an integrated development of modeling and problem-solving techniques for particle and rigid-body motion emphasizing the use of free-body diagrams and vector mathematics.  The student learns the basic principles of particle and rigid body dynamics and the systematic application of these principles to mechanical systems arising in diverse aspects of technology. Moreover, solving the mathematical equations that govern these systems, and physically interpret the results is a key takeaway.  The course:  two- and three-dimensional kinematics of particles and rigid bodies; two-dimensional kinetics of particles and rigid bodies using Newton's 2nd Law, the energy method, and the impulse-momentum method; introduction to three-dimensional kinetics of rigid bodies. 

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Textbook (optional): Engineering Mechanics-Dynamics (Rensselaer Polytechnic Institute), JL Meriam, LG Kraige, and JN Bolton, 8th Edition (2015), John Wiley and Sons.

 

Prerequisites/Corequisites: ENGR-1100: Introduction to Engineering Analysis (Engineering Mechanics: Statics), PHYS-1100: Physics 1 (Mechanics), MATH-2400:  Introduction to Differential Equations.

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• MANE-6964-01: Boundary Control of Continuum Problems (Graduate Level)

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MANE-6964-01 reflects the state-of-the-art in boundary control of PDEs using one of the most recently developed control techniques in the field. Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications are heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. In these systems, generally occurs convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly by finite-dimensional systems and due to the wide area of applications, such systems have been subject to extensive research during the last decades. The topics of this course involve Lyapunov stability and exact solutions to PDEs; boundary control of parabolic PDEs (reaction-advection-diffusion and other equations); Boundary observer design; control of complex-valued PDEs (Schrodinger and Gunzburg-Landau equations); Boundary control of hyperbolic PDEs (wave equations with application to oil drilling systems) and beam equations (cantilever beams); Control of first-order hyperbolic PDEs and delay equations (shallow water waves dynamics); Control of Kuramoto-Sivashinsky (diffusive instabilities in a laminar flame), Korteweg-de Vries (waves on shallow water surfaces), and other "exotic" equations;  Motion planning for PDEs.

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Textbook (optional):  M. Krstic and A. Smyshlyaev, Boundary Control of PDEs: A Course on Backstepping Designs, SIAM, 2008.

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Pre-requisites/Co-requisites: MANE 4050/4500: Modeling and Control of Dynamic Systems.