Relevant bibliographies by topics / Automatic tracking. Feedback control systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Automatic tracking. Feedback control systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Automatic tracking. Feedback control systems"

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Ciccotelli, Joseph, Michel Dufaut, and René Husson. "Control of tracking systems by image correlation." Robotica 5, no. 3 (July 1987): 201–6. http://dx.doi.org/10.1017/s0263574700015848.

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SUMMARYOwing to advances in machine vision, it is now possible to study automatic gripping of moving parts. This complex task requires a precise knowledge of the displacements of objects in a camera field.In this paper, a method to analyse the motion of parts is presented; it is based on the correlation of numerical images. The treatment of data provided by the image background makes this method quite original.The utilization of this method, often considered as rather awkward, makes it possible, in this case, to develop a position feedback operation of the robot actuators controlled in an open loop (step by step motors).
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Kadalla, A. S., I. L. Samaila, and N. Z. Oriolowo. "Optimum Seeking Position Control of Solar Collectors." Advanced Materials Research 62-64 (February 2009): 537–42. http://dx.doi.org/10.4028/www.scientific.net/amr.62-64.537.

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The main hindrance to the widespread of solar systems is the cost of the solar collectors. Researchers all over the world have been exploring different means of overcoming this limitation in order to make solar conversion more cost effective. This paper describes an experimental work on optimum seeking position of solar collectors using feedback control theory. Single axis tracking mode is employed together with sun seek sensor for automatic reset. The performance of the tracking collector compares favorably against a fixed collector.
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Zhang, Jianhua, and Junghui Chen. "Neural PID Control Strategy for Networked Process Control." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/752489.

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A new method with a two-layer hierarchy is presented based on a neural proportional-integral-derivative (PID) iterative learning method over the communication network for the closed-loop automatic tuning of a PID controller. It can enhance the performance of the well-known simple PID feedback control loop in the local field when real networked process control applied to systems with uncertain factors, such as external disturbance or randomly delayed measurements. The proposed PID iterative learning method is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed-loop systems. The convergence in the mean square sense is analysed for closed-loop networked control systems. To demonstrate the potential applications of the proposed strategies, a pressure-tank experiment is provided to show the usefulness and effectiveness of the proposed design method in network process control systems.
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Won, Mooncheol, and J. K. Hedrick. "Disturbance Adaptive Discrete-Time Sliding Control With Application to Engine Speed Control." Journal of Dynamic Systems, Measurement, and Control 123, no. 1 (March 16, 1998): 1–9. http://dx.doi.org/10.1115/1.1349884.

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This paper presents a discrete-time adaptive sliding control method for SISO nonlinear systems with a bounded disturbance or unmodeled dynamics. Control and adaptation laws considering input saturation are obtained from approximately discretized nonlinear systems. The developed disturbance adaptation or estimation law is in a discrete-time form, and differs from that of conventional adaptive sliding mode control. The closed-loop poles of the feedback linearized sliding surface and the adaptation error dynamics can easily be placed. It can be shown that the adaptation error dynamics can be decoupled from sliding surface dynamics using the proposed scheme. The proposed control law is applied to speed tracking control of an automatic engine subject to unknown external loads. Simulation and experimental results verify the advantages of the proposed control law.
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Böyük, Mustafa, Yakup Eroğlu, Günyaz Ablay, and Kutay İçöz. "Feedback controller designs for an electromagnetic micromanipulator." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 6 (September 9, 2019): 759–72. http://dx.doi.org/10.1177/0959651819871783.

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Magnetic micromanipulators are capable of generating wide range of magnetic forces to manipulate magnetic microparticles for biomedical applications. In this study, a multipole magnetic micromanipulator system including electromagnets, driver circuitry and control unit is designed, modeled and implemented. The micromanipulator can produce a broad range of magnetic forces up to 25 pN on a single magnetic microparticle (1–10 µm diameter) that is 5 mm away from the electromagnet core tip. Both linear and nonlinear controllers are designed and implemented, and the proposed nonlinear controller produces smooth control currents to assure closed-loop stability of the system with 1 s non-overshoot transient response and zero steady-state tracking error. The maximum output current of the driver circuitry is set to 1 A. The single particle at the center is moved at a speed of 5 mm/s. The fully automatic system can be utilized in applications related to single cell or microparticle manipulations.
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Yesin, Kemal Berk, and Bradley J. Nelson. "A CAD model based tracking system for visually guided microassembly." Robotica 23, no. 4 (June 14, 2005): 409–18. http://dx.doi.org/10.1017/s0263574704000840.

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We present a visual feedback method for closed loop control of automated microassembly. A CAD model based multi-camera visual tracking system that is well suited for flexible automation and assembly of complex 3D geometries was developed. The system is capable of providing six degree-of-freedom pose feedback on the observed micro-components in real-time (30 Hz). Using CAD models of the observed objects, a complete description of the observed scene, including the effect of occlusions, is available and dependence on distinctive visual features such as fudicial marks is avoided.
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Luaphol, B., J. Polpinij, and M. Kaneampornpan. "Automatic dependent bug reports assembly for bug tracking systems by threshold-based similarity." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (September 1, 2021): 1620. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1620-1633.

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<p>Bug reports contain essential information for fixing problems that occur in software. Many studies have proposed methods for automatic analysis of bug reports. One such task could affect the completion of software bug fixing, known as “bug dependency”. Although this problem was mentioned by many researches, most of them discussed about the related bugs but not really dealt with dependency issue in bug reports. One possible solution used for addressing this issue is to assemble all relevant/dependent bug reports together before analysis of the next processing stages. This study presents a method of assembling dependent bug reports. The main mechanism is called “threshold-based similarity analysis”, and the three similarity techniques of cosine similarity (CS) multi aspect TF (MATF), and BM25 are compared with feedback, precision and likelihood value. As the BM25 with the threshold as 0.5 gives the best results, it was used to compare with the state of the art method. The results show that our method increases precision and likelihood values by 12% and 12.4% respectively. Therefore, our results can be used to encourage developers to recognize all dependent bugs in the same problem domain.</p>
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Peng, Tao, Xingliang Liu, Rui Fang, Ronghui Zhang, Yanwei Pang, Tao Wang, and Yike Tong. "Lane-change path planning and control method for self-driving articulated trucks." Journal of Intelligent and Connected Vehicles 3, no. 2 (September 7, 2020): 49–66. http://dx.doi.org/10.1108/jicv-10-2019-0013.

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Purpose This study aims to develop an automatic lane-change mechanism on highways for self-driving articulated trucks to improve traffic safety. Design/methodology/approach The authors proposed a novel safety lane-change path planning and tracking control method for articulated vehicles. A double-Gaussian distribution was introduced to deduce the lane-change trajectories of tractor and trailer coupling characteristics of intelligent vehicles and roads. With different steering and braking maneuvers, minimum safe distances were modeled and calculated. Considering safety and ergonomics, the authors invested multilevel self-driving modes that serve as the basis of decision-making for vehicle lane-change. Furthermore, a combined controller was designed by feedback linearization and single-point preview optimization to ensure the path tracking and robust stability. Specialized hardware in the loop simulation platform was built to verify the effectiveness of the designed method. Findings The numerical simulation results demonstrated the path-planning model feasibility and controller-combined decision mechanism effectiveness to self-driving trucks. The proposed trajectory model could provide safety lane-change path planning, and the designed controller could ensure good tracking and robust stability for the closed-loop nonlinear system. Originality/value This is a fundamental research of intelligent local path planning and automatic control for articulated vehicles. There are two main contributions: the first is a more quantifiable trajectory model for self-driving articulated vehicles, which provides the opportunity to adapt vehicle and scene changes. The second involves designing a feedback linearization controller, combined with a multi-objective decision-making mode, to improve the comprehensive performance of intelligent vehicles. This study provides a valuable reference to develop advanced driving assistant system and intelligent control systems for self-driving articulated vehicles.
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Katal, Nitish, and Shiv Narayan. "QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization." Modelling and Simulation in Engineering 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/9837058.

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Automation of the robust control system synthesis for uncertain systems is of great practical interest. In this paper, the loop shaping step for synthesizing quantitative feedback theory (QFT) based controller for a two-phase permanent magnet stepper motor (PMSM) has been automated using teaching learning-based optimization (TLBO) algorithm. The QFT controller design problem has been posed as an optimization problem and TLBO algorithm has been used to minimize the proposed cost function. This facilitates designing low-order fixed-structure controller, eliminates the need of manual loop shaping step on the Nichols charts, and prevents the overdesign of the controller. A performance comparison of the designed controller has been made with the classical PID tuning method of Ziegler-Nichols and QFT controller tuned using other optimization algorithms. The simulation results show that the designed QFT controller using TLBO offers robust stability, disturbance rejection, and proper reference tracking over a range of PMSM’s parametric uncertainties as compared to the classical design techniques.
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Peng, Huei, and Masayoshi Tomizuka. "Preview Control for Vehicle Lateral Guidance in Highway Automation." Journal of Dynamic Systems, Measurement, and Control 115, no. 4 (December 1, 1993): 679–86. http://dx.doi.org/10.1115/1.2899196.

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The continuous time deterministic optimal preview control algorithm is applied to the lateral guidance of a vehicle for an automated highway. In the lateral guidance problem, the front wheel steering angle of the vehicle is controlled so that the vehicle follows the center for a lane with small tracking error and maintains good ride quality simultaneously. A preview control algorithm is obtained by minimizing a quadratic performance index which includes terms representing the passenger ride quality as well as the lateral tracking error, each of these terms is multiplied by a frequency dependent weight. This design method is known as a frequency shaped linear quadratic (FSLQ) optimal control approach. It permits incorporating frequency domain design specifications such as high frequency robustness and ride quality in the optimal controller design. It is shown that the optimal preview control law consists of a feedback control term and two feedforward control terms. The feedback term is exactly the same as that of traditional LQ control algorithm. The feedforward preview control action significantly improves the tracking performance and ride quality. Frequency-domain analyses, as well as numerical simulation results, show the improvements achieved by using the preview control algorithm in both the frequency and time domains.
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Dissertations / Theses on the topic "Automatic tracking. Feedback control systems"

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Zou, Qingze. "Preview-based system-inversion for output-tracking : theory & application /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/7136.

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Kurtulmus, Ergin. "Locomotion And Control Of A Modular Snake Like Robot." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612533/index.pdf.

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In recent years, there has been a significant increase in the interest for snake like modular robots due to their superior locomotion capabilities in terms of versatility, adaptability and scalability. Passive wheeled planar snake like robots are a major category and they are being actively researched. Due to the nonholonomic constraints imposed on them, certain configurations lead to the singularity which must be avoided at all costs. Furthermore, it is vital to generate a locomotion pattern such that they can track a wide range of trajectories. All of these objectives must be accomplished smoothly and in an energy efficient manner. Studies indicate that meeting all of these requirements is a challenging problem. In this study, a novel form of the serpenoid curve is proposed in order to make the robot track arbitrary paths. A controller has been designed using the feedback linearization method. Afterwards, a new performance measure, considering both the efficiency and sustainability of the locomotion, has been proposed to evaluate the locomotion. Optimal parameters for the proposed serpenoid curve and the linear controller have been determined for efficient locomotion by running series of simulations. Relations between the locomotion performance, locomotion speed and eigenvalues of the linear controller have been demonstrated. Simulation results show striking differences between the locomotion by using the proposed serpenoid curve with optimal parameters and the locomotion by purely tracking a given path. Obtained results also indicate that the aforementioned requirements are met successfully and confirm the validity and consistency of the proposed performance measure.
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Rollins, Elizabeth S. M. Massachusetts Institute of Technology. "Optimization of neural network feedback control systems using automatic differentiation." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/59691.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 95-97).
Optimal control problems can be challenging to solve, whether using analytic or numerical methods. This thesis examines the application of an adjoint method for optimal feedback control, which combines various algorithmic techniques into an original numerical method. In the method investigated here, a neural network defines the control input in both trajectory and feedback control optimization problems. The weights of the neural network that minimize a cost function are determined by an unconstrained optimization routine. By using automatic differentiation on the code that evaluates the cost function, the gradient of the cost with respect to the weights is obtained for the gradient search phase of the optimization process. Automatic differentiation is more efficient than hand-differentiating code for the user and provides exact gradients, allowing the optimization of the neural network weights to proceed more rapidly. Another benefit of this method comes from its use of neural networks, which are able to represent complex feedback control policies, because they are general nonlinear function approximators. Neural networks also have the potential to be generalizable, meaning that a control policy found using a sufficiently rich training set will often work well for other initial conditions outside of the training set. Finally, the software implementation is modular, which means that the user only needs to adjust a few codes in order to set up the method for a specific problem. The application of the adjoint method to three control problems with known solutions demonstrates the ability of the method to determine neural networks that produce near-optimal trajectories and control policies.
by Elizabeth Rollins.
S.M.
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Wadoo, Sabiha Amin. "Feedback Control and Nonlinear Controllability of Nonholonomic Systems." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/30963.

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In this thesis we study the methods for motion planning for nonholonomic systems. These systems are characterized by nonholonomic constraints on their generalized velocities. The motion planning problem with constraints on the velocities is transformed into a control problem having fewer control inputs than the degrees of freedom. The main focus of the thesis is on the study of motion planning and design of the feedback control laws for an autonomous underwater vehicle: a nonholonomic system. The nonlinear controllability issues for the system are also studied. For the design of feedback controllers, the system is transformed into chained and power forms. The methods of transforming a nonholonomic system into these forms are discussed. The work presented in this thesis is a step towards the initial study concerning the applicability of kinematic-based control on underwater vehicles.
Master of Science
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Huang, Rui. "OUTPUT FEEDBACK TRACKING CONTROL OF NONLINEAR TIME-VARYING SYSTEMS BY TRAJECTORY LINEARIZATION." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178906759.

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Damweber, Michael Frank. "Model independent offset tracking with virtual feature points." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/17651.

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Garner, Harry Douglas Jr. "Development of a real-time vision based absolute orientation sensor." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/17022.

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Jeong, Daehwa. "Analysis and design of a discrete time repetitive control system /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/7079.

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Imsland, Lars. "Topics in nonlinear control. : Output Feedback Stabilization and Control of Positive Systems." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-355.

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The contributions of this thesis are in the area of control of systems with nonlinear dynamics. The thesis is divided into three parts. The two first parts are similar in the sense that they both consider output feedback of rather general classes of nonlinear systems, and both approaches are based on mathematical programming (although in quite different ways). The third part contains a state feedback approach for a specific system class, and is more application oriented.

The first part treats control of systems described by nonlinear difference equations, possibly with uncertain terms. The system dynamics are represented by piecewise affine difference inclusions, and for this system class, piecewise affine controller structures are suggested. Controller synthesis inequalities for such controller structures are given in the form of Bilinear Matrix Inequalities (BMIs). A solver for the BMIs is developed. The main contribution is to the output feedback case, where an observer-based controller structure is proposed. The theory is exemplified through two examples.

In the second part the output feedback problem is examined in the setting of Nonlinear Model Predictive Control (NMPC). The state space formulation of NMPC is inherently a state feedback approach, since the state is needed as initial condition for the prediction in the controller. Consequently, for output feedback it is natural to use observers to obtain estimates of the state. A high gain observer is applied for this purpose. It is shown that for several existing NMPC schemes, the state feedback stability properties ``semiglobally'' hold in the output feedback case. The theory is illuminated with a simple example.

Finally, a state feedback controller for a class of positive systems is proposed. Convergence of the state to a certain subset of the first orthant, corresponding to a constant ``total mass'' (interpreting states as masses) is obtained. Conditions are given under which convergence to this set implies asymptotic stability of an equilibrium. Simple examples illustrate some properties of the controller. Furthermore, the control strategy is applied to the stabilization of a gas-lifted oil well, and simulations on a rigorous multi-phase dynamic simulator of such a well demonstrate the controller performance.

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Fairley, Stuart Martin. "A stereo tracking and structure recovery system." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670262.

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Books on the topic "Automatic tracking. Feedback control systems"

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Kuo, Benjamin C. Automatic control systems. 5th ed. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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F, Golnaraghi M., ed. Automatic control systems. 8th ed. New York: John Wiley & Sons, 2003.

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Automatic control systems. 6th ed. Englewood Cliffs, N.J: Prentice Hall, 1991.

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Kuo, Benjamin C. Automatic control systems. 6th ed. London: Prentice-Hall, 1991.

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Automatic control systems. 7th ed. Englewood Cliffs, N.J: Prentice Hall, 1995.

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Ackermann, J. Robust control: Systems with uncertain physical parameters. London: Springer-Verlag, 1993.

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Ackermann, Jürgen. Robust control: Systems with uncertain physical parameters. London: Springer, 1993.

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Model-based tracking control of nonlinear systems. Boca Raton: Chapman and Hall/CRC, 2012.

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Automatic control: The power of feedback using MATLAB. Boston: PWS Pub. Co., 1998.

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Automatic control: The power of feedback using MATLAB. Pacific Grove, CA: Brooks/Cole, 2000.

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Book chapters on the topic "Automatic tracking. Feedback control systems"

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de Queiroz, Marcio S., Darren M. Dawson, Siddharth P. Nagarkatti, and Fumin Zhang. "Output Feedback Tracking Controllers." In Lyapunov-Based Control of Mechanical Systems, 87–127. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1352-9_4.

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de Queiroz, Marcio S., Darren M. Dawson, Siddharth P. Nagarkatti, and Fumin Zhang. "Full-State Feedback Tracking Controllers." In Lyapunov-Based Control of Mechanical Systems, 53–86. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1352-9_3.

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Choi, Youngjin, and Wan Kyun Chung. "6 Output Feedback PID Control." In PID Trajectory Tracking Control for Mechanical Systems, 89–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-40041-7_6.

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Tao, Gang, Shuhao Chen, Xidong Tang, and Suresh M. Joshi. "State Feedback Designs for State Tracking." In Adaptive Control of Systems with Actuator Failures, 15–54. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3758-0_2.

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Tao, Gang, Shuhao Chen, Xidong Tang, and Suresh M. Joshi. "State Feedback Designs for Output Tracking." In Adaptive Control of Systems with Actuator Failures, 55–84. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3758-0_3.

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Tao, Gang, Shuhao Chen, Xidong Tang, and Suresh M. Joshi. "Output Feedback Designs for Output Tracking." In Adaptive Control of Systems with Actuator Failures, 85–102. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3758-0_4.

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Landau, Ioan Doré, Aurelian Constantinescu, Daniel Rey, Alphonse Franco, and Patrice Loubat. "Methodology for the Design of Feedback Active Vibration Control Systems." In Advances in Automatic Control, 193–209. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9184-3_13.

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Choi, Youngjin, and Wan Kyun Chung. "5 Automatic Performance Tuning." In PID Trajectory Tracking Control for Mechanical Systems, 71–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-40041-7_5.

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Bongiorno, Joseph J., and Kiheon Park. "Stabilizing Controllers, Tracking, and Disturbance Rejection." In Design of Linear Multivariable Feedback Control Systems, 23–114. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44356-6_2.

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Chen, Guanrong, and Rui J. P. de Figueiredo. "Optimal Nonlinear Feedback System Design for a General Tracking Problem." In Robust Control of Linear Systems and Nonlinear Control, 429–36. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-4484-4_41.

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Conference papers on the topic "Automatic tracking. Feedback control systems"

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Huang, Jeng-Tze. "Global dynamic neuroadaptive tracking control of strict-feedback systems." In 2014 14th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2014. http://dx.doi.org/10.1109/iccas.2014.6987798.

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Kim, Sung Hyun. "ℌ∞ tracking control design for networked output-feedback control systems." In 2013 13th International Conference on Control, Automaton and Systems (ICCAS). IEEE, 2013. http://dx.doi.org/10.1109/iccas.2013.6703977.

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Deng, Mingcong, and Fazhan Tao. "Operator-based optimal design for nonlinear feedback tracking systems." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7053136.

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E. Gershon. "Systems with Multiplicative Noise: Stationary output-feedback Tracking with preview." In 2006 14th Mediterranean Conference on Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/med.2006.236702.

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Gershon, E., and U. Shaked. "Systems with Multiplicative Noise: Stationary output-feedback Tracking with preview." In 2006 14th Mediterranean Conference on Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/med.2006.328868.

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Hui Zhang and You-Xian Sun. "Directed Information and Mutual Information in Linear Feedback Tracking Systems." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712437.

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Wang, Chunxiao, and Yuqiang Wu. "Output-constrained finite-time tracking control for strict-feedback nonlinear systems." In 2017 Chinese Automation Congress (CAC). IEEE, 2017. http://dx.doi.org/10.1109/cac.2017.8242880.

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Chu, Henry K., James K. Mills, and William L. Cleghorn. "Automatic Micropart Re-Orientation Through Visual Tracking for Automated Micro-Assembly." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38999.

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The process of microassembly often involves the manipulation and grasping of complex micro-sized objects. These micro-objects are generally initially placed at random orientations in the plane when transferred to an assembly workstation. The part orientations must be corrected in order for the gripper to grasp them. Visual monitoring feedback is commonly used to assist in the re-orientation and manipulation process. However, due to the very limited field of view of imaging systems used in micro-assembly, the target micro-object may not remain within the viewable area during the reorientation processes. This paper presents an integrated controller algorithm to automatically rotate micro-objects to the desired orientation in the plane for grasping. This novel algorithm incorporates the technique of dynamic tracking to prevent the target micro-object from shifting outside of the viewable area during the re-orientation process. As the micro-object is rotated to correct its orientation, the algorithm will evaluate the required translational inputs in order to maintain the micro-object within the field of view. To minimize the delay due to feedback control, the proposed algorithm employs the principle of Kaiman filter estimation to track and project the motion at the next sampling interval. The proposed algorithm was evaluated experimentally with a microassembly operation using an in-house micro-manipulator. Results from the experiments showed that the proposed tracking algorithm was capable of tracking and maintaining the targeted micropart at the specified location with an error of within +/−15 pixels.
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Gershon, E., and U. Shaked. "State-multiplicative noisy systems — H∞ dynamic output-feedback tracking with preview." In 2017 25th Mediterranean Conference on Control and Automation (MED). IEEE, 2017. http://dx.doi.org/10.1109/med.2017.7984270.

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Gang Feng and Tiejun Zhang. "Output Tracking of Discrete-Time Piecewise Linear Systems via Error Feedback." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712291.

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Journal articles Dissertations / Theses Books
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