The architecture of identification and control of multi- variables discrete-time input-affine nonlinear system based on recurrent neural network is put *** system is identified using a three layers recurrent neural ne...
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The architecture of identification and control of multi- variables discrete-time input-affine nonlinear system based on recurrent neural network is put *** system is identified using a three layers recurrent neural network.A model reference adaptive controller is *** last the closed loop system is globally exponentially stable is proven.
In this paper, the dual version of the explicit model reference adaptive control (MRAC) is designed using a bicriterial optimization procedure. Two criteria, which correspond to the two goals of dual control (to contr...
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In this paper, the dual version of the explicit model reference adaptive control (MRAC) is designed using a bicriterial optimization procedure. Two criteria, which correspond to the two goals of dual control (to control the plant and to apply an active learning input signal for speeding up the estimation process at the same time) are suggested for the formulation of the synthesis problem. A special performance index with weighted control signals is introduced. The elaborated method is applicable for systems with nonminimumphase behaviour, time delay and disturbances. A computationally simple new dual control algorithm is derived. The adaptation scheme for the new system is described. The designed new dual model reference adaptive controller (DMRAC) is compared with the non-dual versions of MRAC using computer simulations. The considered examples demonstrate the improved control performance of the DMRAC.
An 'incremental polynomial model-controller network' (IPMCN) is introduced. Smooth control switching is obtained from the use of odd polynomial controllers. The decomposition of the operating space, together w...
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An 'incremental polynomial model-controller network' (IPMCN) is introduced. Smooth control switching is obtained from the use of odd polynomial controllers. The decomposition of the operating space, together with the construction of the network, is achieved on-line while controlling the system, The performance and robustness of this scheme are illustrated through various simulations.
In this paper, a new sliding mode output feedback algorithm is developed to control the vibration of mechanical systems subjected to disturbance forces. It has been assumed that the number of states is greater than th...
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In this paper, a new sliding mode output feedback algorithm is developed to control the vibration of mechanical systems subjected to disturbance forces. It has been assumed that the number of states is greater than the number of sensors, The sliding mode control law is designed to be robust to external disturbances provided their upper bounds are known. A boundary layer has been introduced around each sliding hyperplane to eliminate the chattering phenomenon. The results from numerical simulations are presented to corroborate the validity of the proposed controller.
An H(infinity) method for propulsion controlled aircraft (PCA) design is introduced, The PCA system is adopted for emergency By-by-throttle control of an airplane with multiple control surface failure, The H(infinity)...
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An H(infinity) method for propulsion controlled aircraft (PCA) design is introduced, The PCA system is adopted for emergency By-by-throttle control of an airplane with multiple control surface failure, The H(infinity) methodology is applied to the problem of matching by dynamic compensation the throttle-actuated crippled aircraft and the nominal control-surface-actuated aircraft model. The design procedure is used to synthesize model matching H(infinity) controllers for an L-1011, a commuter airliner, and a thrust vectoring aircraft models in longitudinal motion and an L-1011 model in lateral motion. Simulation results demonstrate that the concept is workable.
The traditional servosystem of thrust vector control used in space industry has large inertia, small damping factor and the system parameters are susceptible to influences of structure deformation. This paper introduc...
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ISBN:
(纸本)780003450X
The traditional servosystem of thrust vector control used in space industry has large inertia, small damping factor and the system parameters are susceptible to influences of structure deformation. This paper introduces an adaptivecontrol concept -Direct Status Method of adaptivemodel Follow control (DS-AMFC) that breaks through the limits of traditional algorithm. This concept has been proved by experiment of practical system and real-time digital/analog hybrid simulation. This method necessitates a smaller number of hardware components and less computation. In addition, it is easy to realize and have excellent follow performance and robustness.
This paper deals with model reference adaptive control (MRAC) with arbitrary bounded nonlinear inputs. A new analysis and design method is proposed. The main technique we used is feedforward compensation, with it the ...
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In this work an extended model reference adaptive control (MRAC) technique is used to control the cutting force of an end milling process. The technique incorporates Zero Phase Error Tracking control (ZPETC) into the ...
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In this work an extended model reference adaptive control (MRAC) technique is used to control the cutting force of an end milling process. The technique incorporates Zero Phase Error Tracking control (ZPETC) into the MRAC system. The extended MRAC controller remains stable even in the presence of marginally stable and non-minimum phase process zeros. A modified recursive least-square estimation algorithm is used for on-line parameter identification. Simulation results are presented to compare the extended MRAC controller to the standard MRAC controller. A microprocessor system is used to implement adaptive force control of a single-input single-output milling process where the microprocessor monitors the system cutting forces and controls the desired feedrate. A constant cutting force is maintained in the presence of time-varying plant gains and a high random component of the output force. Experimental results are presented for standard MRAC and extended MRAC controllers for comparison.
In this paper we investigate the discrete-time model reference adaptive control problem, ascertain the extent to which the classical assumptions are necessary and provide several suitably modified inviolable requireme...
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In this paper we investigate the discrete-time model reference adaptive control problem, ascertain the extent to which the classical assumptions are necessary and provide several suitably modified inviolable requirements. In particular, we show that under a closed-loop causality constraint the problem is solvable only if there is an upper bound on the plant relative degree and the plant zeros outside the open unit disc lie in a finite set. We also derive a bound on the achievable asymptotic performance in the event that these requirements are not met.
An adaptivecontroller with improved performance characteristics is introduced. The proposed controller extends recent results in this area since it achieves performance improvement of the zero-state output error in t...
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An adaptivecontroller with improved performance characteristics is introduced. The proposed controller extends recent results in this area since it achieves performance improvement of the zero-state output error in the presence of some uncertainty on the high-frequency gain of the plant.
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