3 results about "Exponential form" patented technology

Method for the automatic detection of a thermal anomaly in equipment, associated device. The present invention relates to a method for the automatic detection of a thermal anomaly in equipment, comprising the steps of: calculating the temperature T(t) of the equipment towards which it tends in the vicinity of , verifying, by local extrapolation of T(t) in exponential form: ; predicting an asymptotic equilibrium temperature , as a function of usage variables, characterizing the use and context of use of the equipment at time t; determining, as a function of , the presence of a thermal anomaly in the equipment. Figure for the abstract: Figure 1

The invention discloses a super-exponential convergence zero neural network method for position tracking of a redundant mechanical arm, and belongs to the technical field of robot motion control and intelligent computing. A zero neural network fusing a time-varying dynamic attenuation coefficient and a power-sigmoid type nonlinear activation function is constructed, and by designing an error evolution kinetic equation based on a Jacobian matrix Moore-Penrose pseudo-inverse, a network state is driven to rapidly converge to a time-varying pseudo-inverse truth value in a super-exponential form. And the output of the network serves as a pseudo-inverse online estimated value, a joint speed instruction can be generated in real time in combination with tail end position tracking error feedback, and high-precision, rapid and stable tracking of the tail end of the redundant mechanical arm to an expected trajectory is achieved. The method only depends on a kinematic model, does not need complex dynamic modeling or offline training, has the advantages of being simple in structure, small in calculation amount and high in real-time performance, and is suitable for tracking control scenes with different structural parameters and various complex trajectories.

The application is a power distribution network random power flow acceleration algorithm based on inter-regional scene equivalence, relates to the field of random power flow algorithm, and comprises the following steps: a multi-regional power flow model that influences each other through boundary quantity is established, an inter-regional scene equivalence method is proposed, and a distributed solution algorithm of random power flow is designed. The application considers the problem that a huge calculation burden is caused by a large number of simulations on node injection power in the random power flow algorithm, constructs a multi-regional power flow model that influences each other through boundary quantity, proposes an inter-regional scene equivalence method, and reduces redundant scene information in the information transmission process. Further, a distributed solution algorithm of random power flow is designed on the basis, reduces the scene number of the traditional centralized type in an exponential form, can solve more scenes under the same time constraint, and avoids the problem of too large operation quantity.