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Decentralized control of large-scale nonlinear systems in generalized output-feedback canonical form

Decentralized control of large-scale nonlinear systems in ge...

引用

IEEE Conference on Decision and control

作者： P. Krishnamurthy F. Khorrami Department of Electrical and Computer Engineering Six Metrotech Center Control/Robotics Research Laboratory Polytechnic University Brooklyn NY USA

ISBN: (纸本)0780370619

A global decentralized adaptive output-feedback dynamic compensator is proposed for stabilization and tracking of a class of large-scale systems that are globally diffeomorphic into systems which are interconnections of subsystems in generalized output-feedback canonical form. This form includes as special cases the standard output-feedback canonical form and various other forms considered previously in the literature. Output-dependent nonlinearities are allowed to enter both additively and multiplicatively. The system is allowed to contain unknown parameters multiplying output-dependent nonlinearities, and, also, unknown nonlinearities satisfying certain bounds. Under the assumption that a constant matrix can be found to achieve a certain property, it is shown that reduced-order observers and backstepping controllers can be designed to achieve practical stabilization of the tracking error in each subsystem. Sufficient conditions under which asymptotic tracking and stabilization can be achieved are also obtained. This represents the first decentralized adaptive output-feedback tracking results for this class of systems.

关键词： Distributed control Large-scale systems Nonlinear systems Programmable control Adaptive control Output feedback control systems Polynomials Uncertainty Robot control

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Voltage-fed permanent magnet stepper motor control with position only feedback

Voltage-fed permanent magnet stepper motor control with posi...

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IEEE Conference on control Technology and Applications (CCTA)

作者： P. Krishnamurthy F. Khorrami Control/Robotics Research Laboratory Department of Electrical and Computer Engineering Six Metrotech Center Polytechnic University Brooklyn NY USA

A robust adaptive nonlinear dynamic controller is designed to achieve practical stabilization for position tracking error of a voltage-fed permanent-magnet stepper motor. The control design is an output-feedback design that utilizes only rotor positions measurements. Rotor velocity and stator phase currents are not available for feedback. Furthermore, the only motor parameter that is required to be known is the time constant of the electrical subsystem. Adaptations are utilized so that no other knowledge of motor parameters is required. The proposed controller is robust to load torques, friction, cogging forces, and other disturbances satisfying certain bounds. These results can also be extended to other classes of motors.

关键词： Motor drives Robust control Rotors Programmable control Adaptive control Voltage control Error correction Permanent magnet motors control design Position measurement

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Kinematic modeling of mobile robots by transfer method of augmented generalized coordinates

Kinematic modeling of mobile robots by transfer method of au...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Wheekuk Kim Do Hyung Kim Byung-Ju Yi Bum Jae You Department of Control and Instrumentation Engineering Korea University South Korea School of Electrical Engineering and Computer Science Hanyang University South Korea Intelligent System Control Research Center Korea Institute of Science and Technology South Korea

ISBN: (纸本)0780365763

A kinematic modeling method is proposed which uses augmenting variables to match the dimensions of the input vector and output vector of each serial subchain of the mobile robots. Firstly, kinematic models of various type of wheels are derived including skidding and sliding velocities. Then the method of augmented generalized coordinates is applied to obtain inverse and forward kinematic models. The kinematic models derived by the direct inverse of the augmented matrices provide an accurate solution, which was not achievable by the modeling method based on the pseudo-inverse method which provides an approximate solution. Lastly, two kinematic models for typical, differential-driven mobile robots are presented to show the effectiveness of the proposed modeling method.

关键词： Mobile robots Wheels Electric variables control Intelligent robots Robot kinematics Instruments computer science Intelligent systems Intelligent control control system synthesis

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Optimal grasping based on non-dimensionalized performance indices

Optimal grasping based on non-dimensionalized performance in...

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IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： Byoung-Ho Kim Sang-Rok Oh Byung-Ju Yi Il Hong Suh School of Electrical Engineering and Computer Science Hanyang University Seoul South Korea INtelligent System Control Research Center KIST Seoul South Korea

For a multi-fingered hand to grasp an object, there are numerous ways to grasp it stably, and thus an optimal grasp planning is necessary to find the optimal grasp point for achieving the objective of the given task. First, we define several grasp indices to evaluate the quality of each feasible grasp. Since the physical meanings of the defined grasp induces are different from each other, it is not easy to combine those indices to identify the optimal grasping. In this paper, we propose a new generalized grasping performance index to represent all of the grasp indices as one measure based on a non-dimensional technique. Through simulations, we show that the proposed optimal grasp planning is resemblant to the physical sense of human grasping.

关键词： Grasping Uncertainty Fingers computer science Intelligent systems Intelligent control control systems Humans Performance analysis Ellipsoids

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Nonlinear control of a pneumatic muscle actuator: backstepping vs. sliding-mode

Nonlinear control of a pneumatic muscle actuator: backsteppi...

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IEEE Conference on control Technology and Applications (CCTA)

作者： P. Carbonell Z.P. Jiang D.W. Repperger Department of Systems Engineering and Control Polytechnic University of Valencia Alcoy Spain Department of Electrical and Computer Engineering Six Metrotech Center Polytechnic University Brooklyn NY USA Air Force Research Laboratory OH USA

This paper weighs up the pros and cons of three different tracking controllers for a pneumatic muscle actuator: robust backstepping, adaptive backstepping and sliding-mode. Robustness is assured for three controllers in the presence of model uncertainties and external perturbations. Ultimate boundedness is proved for the robust and adaptive backstepping tracking controller. Exponential stability is proved for the sliding-mode tracking controller. The tracking is well achieved by the sliding-mode and the adaptive controller. On the contrary, the robust backstepping shows a noticeable tracking error. The sliding-mode leads to a high-frequency switching control law.

关键词： Muscles Pneumatic actuators Backstepping Sliding mode control Robust control Programmable control Adaptive control Uncertainty Stability Robustness

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Task-based compliance planning for multifingered hands

Task-based compliance planning for multifingered hands

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Byoung-Ho Kim Byung-Ju Yi Sang-Rok Oh Il Hong Suh School of Electrical Engineering and Computer Science Hanyang University Seoul South Korea Intelligent System Control Research Center Korea Institute of Science and Technology Seoul South Korea

ISBN: (纸本)0780365763

Based on the analysis of the stiffness relation between the operational space and the fingertip space of multifingered hands, this paper provides a guideline of task-based compliance planning for multifingered hands. 2D and 3D examples are illustrated to show the characteristics of the task-based stiffness matrix. It is shown that some of coupling stiffness elements cannot be planned arbitrarily due to grasping geometry. Through the analytical results, it is concluded that the operational stiffness matrix should be carefully specified by considering the location of compliance center and the grasp geometry of multifingered hands for successful grasping and manipulation tasks.

关键词： Fingers Grasping Force sensors computational geometry Force control Guidelines Robot sensing systems Robot control Orbital robotics computer science

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A fuzzy backstepping controller for a pneumatic muscle actuator system

A fuzzy backstepping controller for a pneumatic muscle actua...

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IEEE International Symposium on Intelligent control (ISIC)

作者： P. Carbonell Z.P. Jiang D.W. Repperger Department of Systems Engineering and Control Polytechnic University of Valencia Alcoy Spain Department of Electrical and Computer Engineering Brooklyn Metrotech Center Polytechnic University Brooklyn NY USA HECP Air Force Research Laboratory OH USA

A nonlinear fuzzy backstepping controller is presented for set-point regulation of a pneumatic muscle actuator. Inflation and deflation are the two possible modes of operation of this actuator. Three fuzzy sets, one for each of both modes and one for the transition region, are considered. Each fuzzy set is associated with a local backstepping controller. At the inflation and deflation regimes, the associated controllers are exact backstepping controllers, whereas a robust nonlinear backstepping controller is used at the transition regime and deals with regime uncertainty. The use of fuzzy membership functions provides a smooth controller. The closed-loop system is globally and ultimately bounded.

关键词： Fuzzy control Fuzzy systems Backstepping control systems Muscles Pneumatic actuators Sliding mode control Nonlinear control systems Robust control Nonlinear dynamical systems

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Repetitive robot visual servoing via segmented gained neural network controller

Repetitive robot visual servoing via segmented gained neural...

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IEEE International Symposium on computational Intelligence in Robotics and Automation (CIRA)

作者： Ping Jiang YangQuan Chen Dept of Informationand Control University of Tongji Shanghai China Center for Self-Organizing and Intelligent Systems (CSOIS) Dept of Electrical and Computer Engineering Utah State University Logan UT USA

The purpose of this paper is to design a neural network controller for a nonlinear system with uncertainties which are invariant or repetitive over repeatedly executed tasks such that the maximum tracking errors can be kept within a predefined region through an iterative learning or training process. The desired trajectory is segmented and for each segment a local neural network is constructed. The training of the local neural networks is done iteratively as the task repeats. Meanwhile, the training is segment-wise progressed from the starting segment to the ending one. The accurate tracking of the whole desired trajectory is thus accomplished in a step-by-step or segment-by-segment manner. As an application example, a robot visual servoing control problem is considered with an unknown system structure and camera parameters.

关键词： Visual servoing Neural networks control systems Nonlinear control systems Nonlinear systems Uncertainty Error correction Trajectory Robot control Robot vision systems

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An application of nonlinear PID control to a class of truck ABS problems

An application of nonlinear PID control to a class of truck ...

引用

IEEE Conference on Decision and control

作者： F. Jiang Z. Gao Product Development Center Ford Motor Company Limited Dearborn MI USA The Applied Control Research Laboratory Department of Electrical and Computer Engineering Cleveland State University Cleveland OH USA

A NPID (nonlinear PID) control algorithm is applied to a class of truck ABS (anti-lock brake system) problems. The NPID algorithm combines the advantages of robust control and easy tuning. Simulation results at various situations using TruckSim show that NPID controller has shorter stopping distance and better velocity performance than the conventional PID controller and a loop-shaping controller.

关键词： Three-term control Wheels control systems Stability Velocity control Vehicle dynamics Pressure control Pulse width modulation Friction Nonlinear control systems

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BIFURCATION control AND NONSMOOTH FEEDBACK

BIFURCATION CONTROL AND NONSMOOTH FEEDBACK

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第二十届中国控制会议

作者： Hua O.Wang Yiguang Hong Laboratory for Intelligent and Nonlinear Control(LINC)Department of Electrical and Computer Engineering Duke University DurhamNC 27708U.S.A and Center for Nonlinear and Complex Systems Dept.of Control Science and Engineering Huazhong University of Science and Technology Institute of Systems Sciences Chinese Academy of Sciences

In the paper,we exhibit the usefulness of nonlinearity in two aspects:analysis of nonlinear dynamics and nonsmooth feedback *** illustrative examples are given to show how the new bifurcation p

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