this article presents a novel learning methodology based on the hybrid mechanism for training an interval type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems (FLS). Using input-output data pairs during ...
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ISBN:
(纸本)9781424478132
this article presents a novel learning methodology based on the hybrid mechanism for training an interval type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems (FLS). Using input-output data pairs during the forward pass of the training and prediction processes, the interval type-2 non-singleton type-2 TSK FLS the consequent parameters were tuned by using the recursive least squares (RLS) method. In the backward pass, the antecedent parameters were tuned by using the back-propagation (BP) method. As reported in the literature, the performance indexes of these hybrid models have proved to be better than the individual training mechanism when used alone. the proposed hybrid methodology was tested thru the modeling and prediction of the steel strip temperature at the descaler box entry as rolled in an industrial hot strip mill. Results show that the proposed method compensates better for uncertain measurements than previous type-2 Takagi-Sugeno-Kang using non-hybrid or only back propagation learning mechanisms.
An approach to sensor scheduling problem in the context of proper choice of boththe experimental settings and sensor locations that will be used to identify unknown parameters of a distributed system is presented. Sp...
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ISBN:
(纸本)9781424478279
An approach to sensor scheduling problem in the context of proper choice of boththe experimental settings and sensor locations that will be used to identify unknown parameters of a distributed system is presented. Specifically, given a finite number of possible sites at which sensors may reside and imposing additional limits on the number of experimental runs, a scheduling policy for discrete sensors is determined so as to maximize a criterion based on the Fisher information matrix associated withthe estimated parameters. An efficient computational scheme based on the branch-and-bound method is provided for the solution of the resulting combinatorial problem. Finally, the proposed technique will be illustrated with simulations on a sensor scheduling problem regarding a distributed parameter system describing the performance of a magnetic brake.
the proceedings contain 122 papers. the topics discussed include: observer-based control of a continuous stirred tank reactor with recycle time-delay;sensitivity analysis of time delay hyperbolic optimal control probl...
ISBN:
(纸本)9783902661555
the proceedings contain 122 papers. the topics discussed include: observer-based control of a continuous stirred tank reactor with recycle time-delay;sensitivity analysis of time delay hyperbolic optimal control problems;constrained controllability of second order dynamical systems with delay;optimization problems of parabolic-hyperbolic systems with time delays;optimal control of a time delay infinite order hyperbolic system with pointwise observation of the state;configuration of sensor network with uncertain location of nodes for parameter estimation in distributed parameter systems;numerical experiments in drag minimization for compressible Navier-Stokes flows in bounded domains;sensitivity analysis of infinite order parabolic optimal control problems;neural adapted controller learned on-line in real-time;genetic algorithm based optimization for EMG pattern recognition system;and a fault-tolerant control scheme with input constraints for Takagi-Sugeno fuzzy systems.
In this paper a state feedback controller is designed for Rigid Link Electrically-Driven (RLED) manipulators actuated by a brushed DC (BDC) motors based on joint velocity estimation. the observer based controller is i...
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ISBN:
(纸本)9781424478279
In this paper a state feedback controller is designed for Rigid Link Electrically-Driven (RLED) manipulators actuated by a brushed DC (BDC) motors based on joint velocity estimation. the observer based controller is in fact a model based controller but it can be shown practically that the method is robust against parametric uncertainties. Initially pseudo-velocity filter is proposed to estimate the joint's velocity, provided joint's position are measured. Using the measured and estimated states, a controller is designed through the direct Lyapunov method. It is shown that the controller is asymptotically stable in it's region of attraction, both in position and velocity tracking. To show the validity of the proposed scheme, the algorithm is implemented on a two link planar manipulator actuated by BDC motors.
In most shape optimization problems, the optimal solution does not belong to the set of genuine shapes but is a composite structure. the homogenization method consists in relaxing the original problem thereby extendin...
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ISBN:
(纸本)9781424478279
In most shape optimization problems, the optimal solution does not belong to the set of genuine shapes but is a composite structure. the homogenization method consists in relaxing the original problem thereby extending the set of admissible structures to composite shapes. From the numerical viewpoint, an important asset of the homogenization method with respect to traditional geometrical optimization is that the computed optimal shape is quite independent from the initial guess (at least for the compliance minimization problem). Nevertheless, the optimal shape being a composite, a post-treatement is needed in order to produce an almost optimal non-composite (i.e. workable) shape. the classical approach consists in penalizing the intermediate densities of material, but the obtained result deeply depends on the underlying mesh used and the level of details is not controllable. In a previous work, we proposed a new post-treatement method for the compliance minimization problem of an elastic structure. the main idea is to approximate the optimal composite shape with a locally periodic composite and to build a sequence of genuine shapes converging toward this composite structure. this method allows us to balance the level of details of the final shape and its optimality. Nevertheless, it was restricted to particular optimal shapes, depending on the topological structure of the lattice describing the arrangement of the holes of the composite. In this article, we lift this restriction in order to extend our method to any optimal composite structure for the compliance minimization problem.
Servocontroller for a class of uncertain linear continuous-time systems with unmeasurable bounded disturbances is presented. the controller can be also used for control of uncertain nonlinear systems.
Servocontroller for a class of uncertain linear continuous-time systems with unmeasurable bounded disturbances is presented. the controller can be also used for control of uncertain nonlinear systems.
the paper presents adaptive neural network based controller of dishwasher. It shows how to prepare input data for training networks and presents the simulation of network performance.
the paper presents adaptive neural network based controller of dishwasher. It shows how to prepare input data for training networks and presents the simulation of network performance.
this paper is focused on the extending Takagi-Sugeno-Kang (TSK) types fuzzy models. the propositions of the models with a fuzzy set-valued function in the consequence part as well as the models withthe fuzzy time ser...
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this paper is focused on the extending Takagi-Sugeno-Kang (TSK) types fuzzy models. the propositions of the models with a fuzzy set-valued function in the consequence part as well as the models withthe fuzzy time series in the consequence part are presented. Also chosen theoretical aspects of the creating knowledge bases and the fuzzy reasoning procedure are presented.
Constrained minimum variance control is offered for nonsquare LTI MIMO systems. A constrained control design takes advantage of the so-called control zeros. the new control strategy is compared with familiar generaliz...
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Constrained minimum variance control is offered for nonsquare LTI MIMO systems. A constrained control design takes advantage of the so-called control zeros. the new control strategy is compared with familiar generalized minimum variance control and possible application areas of the two are discussed.
We address the motion planning problem in non-holonomic robotic systems with constraints imposed on configuration and control variables. the imbalanced Jacobian motion planning algorithm is compared withthe optimal c...
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We address the motion planning problem in non-holonomic robotic systems with constraints imposed on configuration and control variables. the imbalanced Jacobian motion planning algorithm is compared withthe optimal control approach. Computer simulations of the unicycle-type mobile robot underlie the comparison.
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