control systems at asu
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CONTROLSCONTROLS
Dr. Konstantinos Dr. Konstantinos TsakalisTsakalis
Area Chair: Dr. Andreas SpaniasArea Chair: Dr. Andreas SpaniasProfessor and Director NSF SenSIP Professor and Director NSF SenSIP
I/UCRCI/UCRC
Control Systems at Control Systems at ASUASU
• EE Faculty: (Lai), Rodriguez, Si, Tsakalis
• Topics: System Modeling, Control Systems Design, Neural Networks, Adaptive and Learning
systems,Fault Detection, Real-time control applications
• Applications: Aerospace (aircraft/missile control, optimal path planning) Semiconductor Manufacturing (process control, scheduling) Power Systems (generation, distribution)Biomedical applications (prosthetics, neuroscience)
Control Systems Control Systems ApplicationsApplications
Control Systems: Use feedback to counteract the effects of uncertainty
Early feedback control applications: Amplifiers, Telephony60’s-70’s successes: Optimal and Multivariable Control,
Rocket/Missile/Aircraft controlOptimal path planning
Control Systems Control Systems ApplicationsApplications
Cruise control“Launch” controlEngine managementActive SuspensionABS
80’s - 90’s themes: Sophisticated & reliable embedded control systemsSimulation and VisualizationRoboticsLarge-scale systems, Networks (Small and powerful computers, Cheap computations)
Control Systems Control Systems ApplicationsApplications
• Philosophy and Expertise: Philosophy and Expertise: o Control systems design and implementation Control systems design and implementation
• Modern multivariable modeling and control Modern multivariable modeling and control • Theory to experiment Theory to experiment • Transferable technology, Systematic, ReliableTransferable technology, Systematic, Reliable
o Integrated modeling and controlIntegrated modeling and control• System identification, Uncertainty estimation, System identification, Uncertainty estimation,
Controller designController design• Linear-Nonlinear methods, Feedback-Linear-Nonlinear methods, Feedback-
FeedforwardFeedforward• Adaptive systems, OptimizationAdaptive systems, Optimization
o Embedded controller implementationEmbedded controller implementationo Controller performance and “health-status” Controller performance and “health-status”
monitoring monitoring
Applications:Applications: Semiconductor Manufacturing Semiconductor Manufacturing
(Semy/Brooks,Motorola,Intel)(Semy/Brooks,Motorola,Intel) Furnace temperature control, Run-to-Run, SchedulingFurnace temperature control, Run-to-Run, Scheduling
Process Control (Honeywell)Process Control (Honeywell) Paper machines, Petrochemical industryPaper machines, Petrochemical industry Wastewater treatment using microbial fuel cells with Wastewater treatment using microbial fuel cells with
peroxide production (SERDP, new)peroxide production (SERDP, new) Power Systems (EPRI)Power Systems (EPRI)
Pulverizers, Power System StabilizersPulverizers, Power System Stabilizers Biomedical (NSF, ERF)Biomedical (NSF, ERF)
Closed-Loop Control of Brain Dynamics in EpilepsyClosed-Loop Control of Brain Dynamics in Epilepsy Electromechanical, Embedded (CEINT-educational)Electromechanical, Embedded (CEINT-educational)
We have developed a “feedback decoupling” control We have developed a “feedback decoupling” control technology to design implantable brain stimulators technology to design implantable brain stimulators that suppress seizures with high therapeutic efficacy that suppress seizures with high therapeutic efficacy and less side effects. Based on biologically plausible and less side effects. Based on biologically plausible computer models of the brain.computer models of the brain.
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Wafers
Gas Inlet
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Quartz or SiliconCarbide Tube
High performance High performance multivariable multivariable controllers controllers designed from designed from data. Reliable, data. Reliable, with quick design with quick design turnaround time. turnaround time. Award-winning Award-winning industrial industrial controllercontroller
Control Systems Control Systems EducationEducation
A variety of application domains: Understanding first principles (more is better)
Unified analysis and design methods: The systems approach
Undergraduate CoursesBackground: EEE202, MAT*** (ODE, Lin. Algebra, Laplace)Systems fundamentals: EEE 203, 304 (Frequency domain)Classical feedback theory: EEE 480 (Basic concepts, simple designs)Computer Controlled Systems : EEE 481 (Discrete, embedded
control)Graduate EE Courses:
Linear (582) & Nonlinear (586) Systems, Transform Theory (550)Robust Multivariable (588), Optimal (587), Neural Nets (511)Filtering of Stochastic Processes (581), Adaptive Control (686)
Other Courses:System Identification, Applied Optimization, Numerical Analysis
MSE Exam: 480-481-581-582-586-587; + selection from 588, 511
Industrial needs for Control EngineersProcess Engineers with control/optimization background
Typical EE employment: (Mostly MS/PhD, some BS)Aerospace (Boeing, Hughes, … )Automotive (GM, Ford, …)Semiconductors (IBM, TI, AMD, Motorola, Intel)
Equipment Manufacturers (Applied Materials, …)Component manufacturers (Seagate, …)
Support industry/Control solutions (Honeywell, Foxboro, Brooks, …)Simulation Software (Matlab, Microsoft)
Chemical/Bio Industries, Power, Communications, …
Job OpportunitiesJob Opportunities
Questions?Questions?
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