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.
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.
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.
the aim of signal decomposition in wavelet bases is to represent a signal as a sequence of wavelet coefficients sets. there is proposed a multistage classification rule using on every stage only one set of the signal ...
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the aim of signal decomposition in wavelet bases is to represent a signal as a sequence of wavelet coefficients sets. there is proposed a multistage classification rule using on every stage only one set of the signal coefficients. the hierarchical construction of wavelet multiresolution analysis was an inspiration for the multistage classification rule. the algorithm makes an optimal decision for every set of coefficients and its main advantage is a smaller dimension of classification problem on every stage.
In this paper a method to speed up a convergence of the Newton algorithm of motion planning for manipulators was presented. the method couples one dimensional optimization (with respect to a coefficient influencing th...
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In this paper a method to speed up a convergence of the Newton algorithm of motion planning for manipulators was presented. the method couples one dimensional optimization (with respect to a coefficient influencing the convergence property of the algorithm) with a virtual goal replacing a real goal of the planning. the first modification of the basic Newton algorithm can be used for any taskspace while the second one works only for low dimensional (not greater than 3) taskspaces. An algorithm based on the method was provided and its efficiency was illustrated on a planar double pendulum manipulator.
In this paper a method of designing the rule bases of fuzzy controllers for Wheel Slide Protection Systems (WSP) for rail vehicles is presented. In this method results of simulation of two reference controllers are us...
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In this paper a method of designing the rule bases of fuzzy controllers for Wheel Slide Protection Systems (WSP) for rail vehicles is presented. In this method results of simulation of two reference controllers are used, both of which use signals which are nor available during normal operation of the systems, i.e. adhesion coefficient and translation velocity of the vehicle. Simulations have performed on a simulation model of a braked rail vehicle and controllers implemented in Matlab Simulink ® . the proposed method makes possible automatization of the design process of WSP fuzzy controllers.
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