This paper developed an adaptive estimation method to estimate unknown disturbances in a class of nonminimum phase nonlinear MIMO systems. The unknown disturbances are generated by an unknown linear exosystem. The fre...
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This paper developed an adaptive estimation method to estimate unknown disturbances in a class of nonminimum phase nonlinear MIMO systems. The unknown disturbances are generated by an unknown linear exosystem. The frequencies, phases and amplitudes of the disturbances are unknown, the only available information of the disturbances is the number of distinctive frequencies. The system considered in this paper is a class of MIMO nonlinear systems in the output feedback form, the system can be nonminimum phase. The proposed estimation algorithm provides exponentially convergent estimates of system states, unknown disturbances in the system and frequencies of the disturbances characterized by the eigenvalues of the exosystem. Moreover, the disturbance rejection control law is constructed by combining the stabilization controller designed without considering the disturbances and the estimates of the disturbances. The control law compensates the unknown disturbances completely while maintains the stability of the whole closed-loop system.
Iterative learning control has the potential to significantly improve the tracking performance of repeating trajectory control systems. However, until now little attempt has been made to measure this performance quant...
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Iterative learning control has the potential to significantly improve the tracking performance of repeating trajectory control systems. However, until now little attempt has been made to measure this performance quantitatively. A new iterative learning control performance index PI N is introduced which allows direct, quantitative, performance comparison of different algorithms, or alternatively a single algorithm which has variable tuning parameters. In particular, PI N can be used as a tool for selecting and adjusting algorithm tuning parameters. Application of the new performance index is demonstrated with both simulation studies and practical implementation on a gantry robot
Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing te...
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Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the design of physically based control laws and, in particular, the first results on a mixed H 2 /H ∞ approach and on H 2 control in the presence of uncertainty in the process model.
For multi-input, multi-output stochastic systems, by means of auxiliary models - finite impulse response (FIR) models, we develop an identification algorithm to estimate the FIR model parameters of each entry (sub-sub...
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For multi-input, multi-output stochastic systems, by means of auxiliary models - finite impulse response (FIR) models, we develop an identification algorithm to estimate the FIR model parameters of each entry (sub-submodel) of transfer matrices with an increasing order for the FIR model. The basic idea is to use auxiliary models to predict/estimate the outputs of the sub-submodels, and further to use the recursive least squares algorithm or the Pade approximation method to produce the parameter estimates of sub-submodels. Some simulation results are included.
The paper addresses control design for an aeration system within a hierarchical structure for an integrated control of dissolved oxygen in the activated sludge processes. In the paper the hybrid predictive controller ...
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The paper addresses control design for an aeration system within a hierarchical structure for an integrated control of dissolved oxygen in the activated sludge processes. In the paper the hybrid predictive controller for the lower control level is developed and its performance is investigated based on real data records.
In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode...
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In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode of series connection and parallel connection system was first set up and their rationalities were proven. An illustrational example was given to demonstrate the effectiveness of this theory.
In this paper, a general key stream generator based on discrete chaotic maps is presented. The new design of generator is to divide the attractor of a chaotic system into equal subregions, which are associated with 0 ...
In this paper, a general key stream generator based on discrete chaotic maps is presented. The new design of generator is to divide the attractor of a chaotic system into equal subregions, which are associated with 0 or 1 dynamically. The analysis and experimental results demonstrate that it is an efficient way to generate key streams with desired long cycle length. Moreover, the generated key streams have good statistical properties such as the uniform distribution, δ-like auto-correlation function, and near-zero crosscorrelation function, etc.
This paper deals with the trajectory planning of a soccer ball driven by a kicking robot. The trajectory of a ball is function of its initial velocity, launch angle, and some aerodynamic effect. Specially, the initial...
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We study an anisotropic swarm model with a class of attraction and repulsion functions. It is shown that the members of a reciprocal swarm aggregates and eventually form a cohesive cluster of finite size around the sw...
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ISBN:
(纸本)0780390989
We study an anisotropic swarm model with a class of attraction and repulsion functions. It is shown that the members of a reciprocal swarm aggregates and eventually form a cohesive cluster of finite size around the swarm center within finite time. Under mild conditions on attraction and repulsion functions, the swarm is also completely stable, i.e., every motion converges to the equilibrium point set of the system. These results are further extended to a class of nonreciprocal swarms under the detailed balance condition on coupling weights. We also present numerical simulations demonstrating complex oscillatory behavior in general nonreciprocal swarms. These results provide more insight into the effect of the interaction pattern on collective behavior of swarms.
This paper considers robust stochastic stability, stabilization and H/sub /spl infin// control problems for a class of jump linear systems with time delays. By taking some zero equations, neither model transformation ...
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ISBN:
(纸本)0780390989
This paper considers robust stochastic stability, stabilization and H/sub /spl infin// control problems for a class of jump linear systems with time delays. By taking some zero equations, neither model transformation nor bounding for cross terms is required to obtain the delay-dependent results, which are given in terms of linear matrix inequalities (LMIs). Maximum sizes of time delays are also studied for system stability. Furthermore, solvability conditions and corresponding H/sub /spl infin// control laws are given which provide robust stabilization with a prescribed H/sub /spl infin// disturbance attenuation level /spl gamma/. Numerical examples show that our proposed methods are much less conservative than existing results.
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