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.

Z1

Z2

Z3

Z4

Z5

Profile 1

Spike 2

Spike 3

Spike 4

Profile 5

Profile TC

Wafers

Gas Inlet

Spike 1

Profile 2

Profile 3

Profile4

Spike 5

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?