The high encoding efficiency of H.264 comes from many new video encoding technologies such as adopting variable block size in the process of motion estimation and compensation. But this increases the complexity of H.2...
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The high encoding efficiency of H.264 comes from many new video encoding technologies such as adopting variable block size in the process of motion estimation and compensation. But this increases the complexity of H.264 encoder greatly. The high encoding complexity limits the application of H.264 in the domain of real time video encoding. In order to decrease the complexity of H.264 encoder greatly, this paper proposes a fast inter mode selection algorithm to speed up the H.264 encoder. Experimental results show that the proposed algorithm can reduce the complexity of the inter mode decision remarkably while incurring little, if any, loss in quality
The H∞-based and classical engineering approaches to flight control law design are compared regarding a similarity between the derived controllers structure. The integrated flight and aeroelastic control laws have be...
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A traditional representation of aerodynamic characteristics based on the concept of aerodynamic derivatives becomes inadequate at high angles of attack due to significant dynamic effects generated by separated and vor...
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The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive a...
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In today’s hyper-competitive business environments virtual organisations are becoming highly dynamic and unpredictable. Individuals may want to work together across organisation boundaries but do not have much prior ...
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The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive a...
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The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller
This paper deals with nonholonomic control systems subject to affine constraints. We first derive several preliminary properties of nonholonomic dynamic systems with affine constraints (NDSAC). We then investigate loc...
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This paper deals with nonholonomic control systems subject to affine constraints. We first derive several preliminary properties of nonholonomic dynamic systems with affine constraints (NDSAC). We then investigate local accessibility and local controllability of the NDSAC based on both Sussmann's theorem and linear approximation approaches. Conditions for local asymptotic stabilizability of the NDSAC by linear state feedback and nonlinear smooth state feedback are also derived. Finally, two physical examples are illustrated to confirm the results.
This paper presents the comparison of two approaches based on artificial intelligence techniques solving the task of on-line recognition of metabolic state of baker's yeast culture in a fed-batch cultivation. The ...
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