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Papers by Daniel Abramovitch
Using Feedback Control Principles as Guiding Metaphors for Business Processes
2022 American Control Conference (ACC), Jun 8, 2022
52 Analog Computing in the Soviet Union
Managerial Decision Making as an Application for Control Science and Engineering
2022 American Control Conference (ACC)
Using Feedback Control Principles as Guiding Metaphors for Business Processes
2022 American Control Conference (ACC), Jun 8, 2022
IFAC Proceedings Volumes, 2002
One of the persistently exciting control applications is that of disk drive servos. From the star... more One of the persistently exciting control applications is that of disk drive servos. From the start in the early 1950s to the massive capacity commodity drives of the early 2000s, the problem of accessing data on rotating disk media has provided a wealth of control challenges to be solved. This survey paper traces the early history of disk drive control from the first disk drive in 1956 to the first commercial drive with Magneto-Resistive heads in 1990. Rather than the approach used in (Abramovitch and Franklin, 2002a) in which the histories of the components were outlined first, we will focus on the feedback loop itself in those early days. The paper will survey the different areas of the disk drive control problem and how they evolved.
IEEE Control Systems Magazine, Dec 1, 2004
52 Analog Computing in the Soviet Union
Managerial Decision Making as an Application for Control Science and Engineering
2022 American Control Conference (ACC), Jun 8, 2022
IFAC-PapersOnLine, 2019
This paper presents some insights on teaching practical improvements to control methods to engine... more This paper presents some insights on teaching practical improvements to control methods to engineers already practicing in the field. Virtually all of these engineers have taken an introductory controls class (perhaps many years ago) and have some experience with some circuitry, programming, and actual control implementations. We argue that the lessons that have the most impact on these engineers are those that tie theoretical insight to methods that they can adapt almost immediately to make their jobs easier. We discuss both the environment of a typical practicing engineer and some of the lessons that can immediately make them more effective.
Springer eBooks, 2020
This panel convenes representatives from several industries in the information technology, aerosp... more This panel convenes representatives from several industries in the information technology, aerospace, power, manufacturing and finance sectors, who will address how advances in modeling and prediction methods, and decision support for complex systems, as well as the underlying information technology infrastructures, can advance the capabilities in their respective sectors. Part of the discussion will include research and technology development within their own organizations as well as the broader academic and research laboratories communities, and potential for collaborative and synergistic advances across the industry, academe, and federal sectors can enhance the opportunities for advances and capabilities sought.
IEEE Control Systems Magazine, Feb 1, 2023
This paper presents some insights on teaching practical improvements to control methods to engine... more This paper presents some insights on teaching practical improvements to control methods to engineers already practicing in the field. Virtually all of these engineers have taken an introductory controls class (perhaps many years ago) and have some experience with some circuitry, programming, and actual control implementations. We argue that the lessons that have the most impact on these engineers are those that tie theoretical insight to methods that they can adapt almost immediately to make their jobs easier. We discuss both the environment of a typical practicing engineer and some of the lessons that can immediately make them more effective.
A Tutorial on Real-Time Computing Issues for Control Systems
2023 American Control Conference (ACC)
Turning the tracking problem sideways: servo tricks for DVD+RW clock generation
Proceedings of the ... American Control Conference, Jul 1, 2007
Images in atomic force microscopy (AFM) are built pixel-by-pixel through a raster scan process an... more Images in atomic force microscopy (AFM) are built pixel-by-pixel through a raster scan process and can take on the order of minutes to obtain. The problem of imaging a sample can be characterized as using a short-range or point-like sensor to obtain information about a system over a region and is common across a broad range of fields in science and engineering. In many cases, as in most AFM images, the region to be scanned consists primarily of empty or uninteresting space. In this situation raster-scanning, while easy to implement, is extremely inefficient. It can be viewed as an open-loop scheme because no use is made of data being acquired by the sensor. In this paper, we survey results from the literature describing alternative scanning and sampling approaches. These algorithms often use prior information about the system being measured as well as real-time feedback from previously measured points to keep the sensor in the regions of interest.
Typical implementations of a phase-lock loop (PLL) are second order. In this paper we examine the... more Typical implementations of a phase-lock loop (PLL) are second order. In this paper we examine the advantages and disadvantages of a third order phase-lock loop. Among the advantages is more design freedom which can result in superior noise rejection and lower steady-state error than a second order PLL. Chief among the disadvantages of the third order PLL is the difficulty of analyzing its stability in the region of nonlinear operation. In this paper we will treat the third order PLL as a nonlinear control system: first examining the small signal (linear) operation and then extending the analysis to the nonlinear region. A useful set of tools from the nonlinear control system world, the second method of Lyapunov and LaSalle's Theorem, will be used to derive stability conditions for the nonlinear model.
The PES Pareto method: uncovering the strata of position error signals in disk drives
A Tutorial on Real-Time Computing Issues for Control Systems
IEEE Control Systems Magazine, Feb 1, 2023
DANIEL Y. (DANNY) ABRAMOVITCH Q. How did your education and early career lead to your initial and... more DANIEL Y. (DANNY) ABRAMOVITCH Q. How did your education and early career lead to your initial and continuing interest in the control field? Danny: That's kind of amusing. I can honestly say that as an undergraduate, the two controls classes I took were among my least favorite classes of those four years. I don't think I really knew what I would do in graduate school but had in my head some idea that I would try to work in robotics. When I first arrived at Stanford, my first exposure to robotics was mostly through the vision group in CS, and it felt a bit too ad hoc to me. At the same time, I had taken a legendarily unpopular linear systems class, and-taking the final a few days early; finding an error in a problem; and thereby getting the almost unheard-of full credit and therefore an A in the class-said out loud to my friends, "Well, I guess I'll never have to take another class in that area again." They teased me about that for years. Still interested in robotics but looking for something that had a more cohesive understanding behind it, I ironically started taking more and more classes in the Information Systems Lab that seemed to specialize in that kind of stuff. It was Prof. Bernie Widrow's adaptive systems class (EE 373) that gave me the feeling for the first time that this area of dynamics, system theory, adaptation, and compensation was where I should focus. By the end of the summer, I had joined Gene Franklin's group. The hard thing for me was that I truly did not understand how I needed to work problems to be successful in research. (I often refer to myself as a failed theoretician.) It was going out to industry and being presented with a host of problems that were both very physical and relied on some extension of theoretical understanding to make progress that really put me on the right path. Then, it got to be fun. It involves a lot more faith and patience than I ever thought I'd
A Comparison of the δ Parameterization and the τ Parameterization
Advances in Computing and Communications, 2019
Using Feedback Control Principles as Guiding Metaphors for Business Processes
2022 American Control Conference (ACC), Jun 8, 2022
52 Analog Computing in the Soviet Union
Managerial Decision Making as an Application for Control Science and Engineering
2022 American Control Conference (ACC)
Using Feedback Control Principles as Guiding Metaphors for Business Processes
2022 American Control Conference (ACC), Jun 8, 2022
IFAC Proceedings Volumes, 2002
One of the persistently exciting control applications is that of disk drive servos. From the star... more One of the persistently exciting control applications is that of disk drive servos. From the start in the early 1950s to the massive capacity commodity drives of the early 2000s, the problem of accessing data on rotating disk media has provided a wealth of control challenges to be solved. This survey paper traces the early history of disk drive control from the first disk drive in 1956 to the first commercial drive with Magneto-Resistive heads in 1990. Rather than the approach used in (Abramovitch and Franklin, 2002a) in which the histories of the components were outlined first, we will focus on the feedback loop itself in those early days. The paper will survey the different areas of the disk drive control problem and how they evolved.
IEEE Control Systems Magazine, Dec 1, 2004
52 Analog Computing in the Soviet Union
Managerial Decision Making as an Application for Control Science and Engineering
2022 American Control Conference (ACC), Jun 8, 2022
IFAC-PapersOnLine, 2019
This paper presents some insights on teaching practical improvements to control methods to engine... more This paper presents some insights on teaching practical improvements to control methods to engineers already practicing in the field. Virtually all of these engineers have taken an introductory controls class (perhaps many years ago) and have some experience with some circuitry, programming, and actual control implementations. We argue that the lessons that have the most impact on these engineers are those that tie theoretical insight to methods that they can adapt almost immediately to make their jobs easier. We discuss both the environment of a typical practicing engineer and some of the lessons that can immediately make them more effective.
Springer eBooks, 2020
This panel convenes representatives from several industries in the information technology, aerosp... more This panel convenes representatives from several industries in the information technology, aerospace, power, manufacturing and finance sectors, who will address how advances in modeling and prediction methods, and decision support for complex systems, as well as the underlying information technology infrastructures, can advance the capabilities in their respective sectors. Part of the discussion will include research and technology development within their own organizations as well as the broader academic and research laboratories communities, and potential for collaborative and synergistic advances across the industry, academe, and federal sectors can enhance the opportunities for advances and capabilities sought.
IEEE Control Systems Magazine, Feb 1, 2023
This paper presents some insights on teaching practical improvements to control methods to engine... more This paper presents some insights on teaching practical improvements to control methods to engineers already practicing in the field. Virtually all of these engineers have taken an introductory controls class (perhaps many years ago) and have some experience with some circuitry, programming, and actual control implementations. We argue that the lessons that have the most impact on these engineers are those that tie theoretical insight to methods that they can adapt almost immediately to make their jobs easier. We discuss both the environment of a typical practicing engineer and some of the lessons that can immediately make them more effective.
A Tutorial on Real-Time Computing Issues for Control Systems
2023 American Control Conference (ACC)
Turning the tracking problem sideways: servo tricks for DVD+RW clock generation
Proceedings of the ... American Control Conference, Jul 1, 2007
Images in atomic force microscopy (AFM) are built pixel-by-pixel through a raster scan process an... more Images in atomic force microscopy (AFM) are built pixel-by-pixel through a raster scan process and can take on the order of minutes to obtain. The problem of imaging a sample can be characterized as using a short-range or point-like sensor to obtain information about a system over a region and is common across a broad range of fields in science and engineering. In many cases, as in most AFM images, the region to be scanned consists primarily of empty or uninteresting space. In this situation raster-scanning, while easy to implement, is extremely inefficient. It can be viewed as an open-loop scheme because no use is made of data being acquired by the sensor. In this paper, we survey results from the literature describing alternative scanning and sampling approaches. These algorithms often use prior information about the system being measured as well as real-time feedback from previously measured points to keep the sensor in the regions of interest.
Typical implementations of a phase-lock loop (PLL) are second order. In this paper we examine the... more Typical implementations of a phase-lock loop (PLL) are second order. In this paper we examine the advantages and disadvantages of a third order phase-lock loop. Among the advantages is more design freedom which can result in superior noise rejection and lower steady-state error than a second order PLL. Chief among the disadvantages of the third order PLL is the difficulty of analyzing its stability in the region of nonlinear operation. In this paper we will treat the third order PLL as a nonlinear control system: first examining the small signal (linear) operation and then extending the analysis to the nonlinear region. A useful set of tools from the nonlinear control system world, the second method of Lyapunov and LaSalle's Theorem, will be used to derive stability conditions for the nonlinear model.
The PES Pareto method: uncovering the strata of position error signals in disk drives
A Tutorial on Real-Time Computing Issues for Control Systems
IEEE Control Systems Magazine, Feb 1, 2023
DANIEL Y. (DANNY) ABRAMOVITCH Q. How did your education and early career lead to your initial and... more DANIEL Y. (DANNY) ABRAMOVITCH Q. How did your education and early career lead to your initial and continuing interest in the control field? Danny: That's kind of amusing. I can honestly say that as an undergraduate, the two controls classes I took were among my least favorite classes of those four years. I don't think I really knew what I would do in graduate school but had in my head some idea that I would try to work in robotics. When I first arrived at Stanford, my first exposure to robotics was mostly through the vision group in CS, and it felt a bit too ad hoc to me. At the same time, I had taken a legendarily unpopular linear systems class, and-taking the final a few days early; finding an error in a problem; and thereby getting the almost unheard-of full credit and therefore an A in the class-said out loud to my friends, "Well, I guess I'll never have to take another class in that area again." They teased me about that for years. Still interested in robotics but looking for something that had a more cohesive understanding behind it, I ironically started taking more and more classes in the Information Systems Lab that seemed to specialize in that kind of stuff. It was Prof. Bernie Widrow's adaptive systems class (EE 373) that gave me the feeling for the first time that this area of dynamics, system theory, adaptation, and compensation was where I should focus. By the end of the summer, I had joined Gene Franklin's group. The hard thing for me was that I truly did not understand how I needed to work problems to be successful in research. (I often refer to myself as a failed theoretician.) It was going out to industry and being presented with a host of problems that were both very physical and relied on some extension of theoretical understanding to make progress that really put me on the right path. Then, it got to be fun. It involves a lot more faith and patience than I ever thought I'd
A Comparison of the δ Parameterization and the τ Parameterization
Advances in Computing and Communications, 2019