This paper describes a computational environment that has been developed to aid control system design for a particular class of nonlinear applications. The analysis and design tools that comprise this environment are ...
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This paper proposes an improved version of the associative memory learning control system (AMLCS) for industrial processes with almost completely unknown but slowly time-varying dynamics. Numerical simulations have sh...
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This paper proposes an improved version of the associative memory learning control system (AMLCS) for industrial processes with almost completely unknown but slowly time-varying dynamics. Numerical simulations have shown the feasibility and effectiveness of the new AMLCS proposed.< >
The author presents a study of the 'dynamic visual control of industrial robots', i.e., robot control based on vision which continually influences the robot manipulative process. The essential functions of vis...
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The author presents a study of the 'dynamic visual control of industrial robots', i.e., robot control based on vision which continually influences the robot manipulative process. The essential functions of vision in such a problem are examined, and basic structures and methods for the design of this kind of system are proposed. The implementation of an experimental system consisting of a six degrees of freedom manipulator with visual control in dynamic mode is described. The results and possible further improvements are discussed.< >
The authors present a novel architecture for model reference adaptive control that is suitable for highly parallel analog and digital hardware implementation. The structure presented here is cleanly scalable to any si...
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The authors present a novel architecture for model reference adaptive control that is suitable for highly parallel analog and digital hardware implementation. The structure presented here is cleanly scalable to any size model reference adaptive system, and has good numerical properties. Results from real-time experiments performed on a 2*2 multivariable plant are presented. The experiments showed good performance in the presence of nonlinearities, unmodeled dynamics, and process noise. At convergence, the controllers that were obtained were at least as good as, and occasionally better than, conventional fixed controllers such as those obtained from linear quadratic Gaussian optimization.< >
Efficient control algorithms are important for industrial processes with constraints. The presence of constraints often results in nonlinear optimization problems which are difficult to solve online. A constrained neu...
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Efficient control algorithms are important for industrial processes with constraints. The presence of constraints often results in nonlinear optimization problems which are difficult to solve online. A constrained neural predictive controller is presented, in which the internal dynamics of the neural network will drive the states of neurons to their steady states just corresponding to the constrained predictive control law. The structure of the computer control system with the neural predictive controller is also investigated.< >
The authors present a control methodology that enables a fuzzy controller to watch its output and if necessary change the inference rules by iterative steps. They present the simulation results obtained with a classic...
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The authors present a control methodology that enables a fuzzy controller to watch its output and if necessary change the inference rules by iterative steps. They present the simulation results obtained with a classic fuzzy logic controller model that uses the max-min composition for the inference rule system and calculates a singleton from the fuzzy set of the output by means of the center of gravity method of H.-J. Zimmerman (1990). Then they present a fuzzy logic controller model with a dynamic rule set (FCD). The results of the simulation carried out with the new FCD are discussed and compared with those for the classic controller.< >
The problem of observing a moving agent is addressed. A modeling approach for the visual system and its observer is advocated in which a discrete-event dynamic system (DEDS) framework is developed and events are defin...
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The problem of observing a moving agent is addressed. A modeling approach for the visual system and its observer is advocated in which a discrete-event dynamic system (DEDS) framework is developed and events are defined as ranges on parameter subsets. In particular, a system for observing a process in which a robot hand manipulates an object is proposed. A stabilizing observer is constructed, and low-level modules are developed for recognizing the events that cause state transitions within the dynamic manipulation system. The work examines closely the possibilities for errors and uncertainties in the manipulation system, observer construction process, and event identification mechanisms. The system utilizes different tracking techniques to observe and recognize the task in an active, adaptive, and goal-directed manner.< >
There are four major 'new' directions in todays' high tech electronics manufacturing: tom provides a broad base for overall quality includes concepts such as spc; spc to provide improved quality and contro...
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There are four major 'new' directions in todays' high tech electronics manufacturing: tom provides a broad base for overall quality includes concepts such as spc; spc to provide improved quality and controls and; includes concepts such as Kaizen and Anova; SMT, surface mount technology, and also computer systems in general. We 'must' integrate these key concepts into our quality and manufacturing paradigms. This applies to both commercial and defense 'products. there is a major industrial revolution now in progress in the electronics industry including microelectronics and PCB's. there have been only a few published papers describing selected SPC applications in SMT operations. This paper presents various SPC understandings and approaches; it includes a section dealing with a continuous process improvement technique for wave solder processing. several key SMT-SPC related articles are referenced and selected data provided.
A new self-tuning PID controller has been developed for distributed processcontrolsystems. The self-tuning PID controller is able to identify the processdynamics using a short period of process behavior such as a s...
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ISBN:
(纸本)0080409350
A new self-tuning PID controller has been developed for distributed processcontrolsystems. The self-tuning PID controller is able to identify the processdynamics using a short period of process behavior such as a setpoint change under the closed loop control condition, and to tune PID parameters based on the identified model parameters for both setpoint tracking and disturbance regulation characteristics, which makes it easy to set up the initial PID parameters and adapt the PID values to the processdynamics changes. This paper describes the basic principles of the self-tuning controllers, and explains the functions to be implemented on. Finally, some application results illustrate the effectiveness of the self-tuning controllers.
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