<![CDATA[ IEEE Control Systems Magazine - Popular ]]>
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Popular Articles Alert for this Publication# 37 2017February <![CDATA[Learning to control an inverted pendulum using neural networks]]>>]]>933137776<![CDATA[Nicholas Minorsky and the automatic steering of ships]]>First Page of the Article]]>441015626<![CDATA[A multilayered neural network controller]]>>]]>821721543<![CDATA[Modeling of an internal combustion engine for control analysis]]>>]]>842026572<![CDATA[Survey of model-based failure detection and isolation in complex plants]]>>]]>863111090<![CDATA[Adaptive control of flexible-joint manipulators]]>>]]>97913565<![CDATA[Neural networks for self-learning control systems]]>>]]>1031823672<![CDATA[A historical review of robust control]]>2and sensitivity optimization of multivariable systems. In this review, we confine the term robust control to the design of fixed controllers. Thus, only nonadaptive or nonself-tuning solutions to the problem of controlling uncertain systems are reviewed. Finally, it should be noted that the review is largely limited to the literature published in IEEE journals and conference proceedings, and some English-language journals. It is, of course, recognized that many significant related contributions have appeared elsewhere.]]>724447486<![CDATA[Back-propagation neural networks for nonlinear self-tuning adaptive control]]>>]]>1034448479<![CDATA[Hierarchical neural network model for voluntary movement with application to robotics]]>>]]>82815948<![CDATA[Parameter learning for performance adaptation]]>>]]>107311821<![CDATA[A simple adaptive Smith-predictor for controlling time-delay systems: A tutorial]]>321622588<![CDATA[A control theoretic model of driver steering behavior]]>>]]>10538576<![CDATA[Control strategies for tendon-driven manipulators]]>>]]>1022328614<![CDATA[Adaptive control of a single-link flexible manipulator]]>>]]>1022933530<![CDATA[Two-axis Sawyer motor for motion systems]]>752024528<![CDATA[Sun tracking by peak power positioning for photovoltaic concentrator arrays]]>3328701<![CDATA[Assessment of air-to-air missile guidance and control technology]]>>]]>9627341027<![CDATA[Introduction to neural networks for intelligent control]]>>]]>8237524<![CDATA[Feedforward and feedback control of a flexible robotic arm]]>>]]>101915633<![CDATA[Associative memories via artificial neural networks]]>>]]>1036171294<![CDATA[On the history and progress of sampled-data systems]]>711621679<![CDATA[Development of fuzzy algorithms for servo systems]]>>]]>936572702<![CDATA[Microprocessor-based robust control of a DC servo motor]]>653036515<![CDATA[A ball balancing demonstration of optimal and disturbance-accomodating control]]>715457380<![CDATA[Active vibration control of a simply supported beam using a spatially distributed actuator]]>2) bonded to one face of the beam. A summary of the underlying theory is presented, with emphasis on how controllability requirements affect the choice of the film's spatial distribution. The requisite film controller has a linearly varying spatial distribution that facilitates the control of both even- and odd-order vibrational modes. Experimental results are presented for the control of the beam's first three modes, using both the linearly varying as well as a uniform spatial distribution. The linearly varying distribution is shown to be effective in controlling both even- and odd-order modes, serving to increase the modal loss factors by up to a factor of 4.5. In addition, the experimental results are found to corroborate a simplified computer model of the controller.]]>742530574<![CDATA[Use of neural networks for sensor failure detection in a control system]]>>]]>1034955684<![CDATA[Stability analysis of power systems by Lyapunov's direct method]]>>]]>912327596<![CDATA[Application of generalized predictive control to industrial processes]]>>]]>824955684<![CDATA[Neural network architecture for control]]>>]]>822225436<![CDATA[Redefinition of the robot motion-control problem]]>531825758<![CDATA[Active reduction of low-frequency tire impact noise using digital feedback control]]>>]]>9536403<![CDATA[History and development of dynamic programming]]>442428609<![CDATA[Introduction to the linear algebraic method for control system design]]>753642705<![CDATA[Digital control of a brushless DC motor]]>753135348<![CDATA[Adaptive control of a heat exchanger]]>714547309<![CDATA[DESIRE: A new interactive simulation systems for control system applications]]>41914405<![CDATA[Control of electric power systems]]>First Page of the Article]]>124161031<![CDATA[Development and applications of multirate digital control]]>3428678<![CDATA[Model reference adaptive control of a direct-drive DC motor]]>>]]>918084488<![CDATA[Multivariable internal model control for a full-scale industrial distillation column]]>>]]>919196589<![CDATA[An adaptive steering system for a ship]]>6538546<![CDATA[Space structure vibration modes: How many exist? Which ones are important?]]>712228669<![CDATA[A perspective on aerospace control systems]]>First Page of the Article]]>721112270<![CDATA[Digital control of repetitive errors in disk drive systems]]>>]]>1011620525<![CDATA[Aggressive trajectory generator for a robot ping-pong player]]>>]]>921521645<![CDATA[Mobile robot control by a structured hierarchical neural network]]>>]]>1036976759<![CDATA[Generalized predictive control of a heat exchanger]]>>]]>96912387<![CDATA[Experiments in temperature measurement and control by microcomputers]]>532628262<![CDATA[Introduction to dynamic models for robot force control]]>724852533