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| Application No. | Application Title | Issue Date |
| 20110276150 | Neural network optimizing sliding mode controller The neural network optimizing sliding mode controller includes an adaptive SMC that overcomes the limitations imposed on the effectiveness of the SMC under different operating conditions. Neural networks are used for on-line prediction of the optimal SMC gains when the ... | 11/10/2011 |
| 20110239020 | POWER MANAGEMENT BASED ON AUTOMATIC WORKLOAD DETECTION An electronic device includes a kernel, a power manager to control power to a hardware component, and a neural network to monitor the kernel to recognize performance of a function of the electronic device. The neural network sends a signal to the power manager to reduce... | 09/29/2011 |
| 20110208675 | BRAIN IMAGING SYSTEM AND METHODS FOR DIRECT PROSTHESIS CONTROL Methods and systems for controlling a prosthesis using a brain imager that images a localized portion of the brain are provided according to one embodiment of the invention. For example, the brain imager can provide motor cortex activation data using near infrared imagi... | 08/25/2011 |
| 20110145180 | Diagnostic Method for a Process Automation System A diagnostic method for a process automation system composed of at least one field device, a control unit, and at least one fieldbus. The following method steps are included: in a learning phase raw data of measured variables, raw data of manipulated variables and/or ra... | 06/16/2011 |
| 20110125687 | Method for hammerstein modeling of steam generator plant The method for Hammerstein modeling of a steam generator plant includes modeling of the linear dynamic part of a Hammerstein model with a state-space model, and modeling the nonlinear part of the Hammerstein model with a radial basis function neural network (RBFNN). Par... | 05/26/2011 |
| 20100298996 | METHOD FOR OPERATING A POWER STATION A method for operating a power station and a process control technique for a power station is provided. The method includes determining at least one desired operating parameter for a future moment in time when the power station is running. An artificial neuronal network... | 11/25/2010 |
| 20100257866 | METHOD FOR COMPUTER-SUPPORTED CONTROL AND/OR REGULATION OF A TECHNICAL SYSTEM A method for computer-supported control and/or regulation of a technical system is provided. In the method a reinforcing learning method and an artificial neuronal network are used. In a preferred embodiment, parallel feed-forward networks are connected together such th... | 10/14/2010 |
| 20100217733 | NEURON DEVICE, NEURAL NETWORK DEVICE, FEEDBACK CONTROL DEVICE, AND INFORMATION RECORDING MEDIUM In order to utilize variable neuron thresholds and extended Hebb's rule in a neural network for proper control, a neuron device (101) for simulating a nerve cell comprises a threshold storage unit (102) storing a threshold variable θ and two threshold coe... | 08/26/2010 |
| 20100205974 | METHOD FOR COMPUTER-AIDED CONTROL AND/OR REGULATION USING NEURAL NETWORKS A method for a computer-aided control of a technical system is provided. The method involves use of a cooperative learning method and artificial neural networks. In this context, feed-forward networks are linked to one another such that the architecture as a whole meets... | 08/19/2010 |
| 20100176238 | STABILITY MULTIPLEXED AUTOPILOT Rolling airframe projectile guidance and stability systems are disclosed. Flight control surfaces, such as canards and/or tail fins are attached to a projectile airframe that is designed to roll during flight. Stepper motors are attached to the flight control surfaces a... | 07/15/2010 |
| 20100169254 | SYSTEM AND METHOD FOR CALIBRATING RADIO FREQUENCY POWER OF COMMUNICATION DEVICES A radio frequency (RF) calibrating system and a method for calibrating RF power of communication devices are provided. The method collects RF signals transmitted from the communication devices, and generates a group of training samples by retrieving measurement data fro... | 07/01/2010 |
| 20100138026 | METHOD AND APPARATUS FOR SELF-LEARNING AND SELF-IMPROVING A SEMICONDUCTOR MANUFACTURING TOOL System(s) and method(s) for optimizing performance of a manufacturing tool are provided. Optimization relies on recipe drifting and generation of knowledge that capture relationships among product output metrics and input material measurement(s) and recipe parameters. O... | 06/03/2010 |
| 20100121473 | System and method for optimizing lignocellulosic granular matter refining A system and method for optimizing a process for refining lignocellulosic granular matter such as wood chips use a predictive model including a simulation model based on relations involving a plurality of matter properties characterizing the matter such as moisture cont... | 05/13/2010 |
| 20100101576 | DETERMINATION OF LEAK AND RESPIRATORY AIRFLOW Methods and apparatus for determining leak and respiratory airflow are disclosed. A pressure sensor (34) and a differential pressure sensor (32) have connection with a pneumotach (24) to derive instantaneous mask pressure and airflow respectively. A... | 04/29/2010 |
| 20100106348 | SWARM Autonomic Agents With Self-Destruct Capability Systems, methods and apparatus are provided through which in some embodiments an autonomic entity manages a system by generating one or more stay alive signals based on the functioning status and operating state of the system. In some embodiments, an evolvable synthetic... | 04/29/2010 |
| 20100100248 | Methods and Systems for Neural Network Modeling of Turbine Components Embodiments of the invention can include methods and systems for controlling clearances in a turbine. In one embodiment, a method can include applying at least one operating parameter as an input to at least one neural network model, modeling via the neural network mode... | 04/22/2010 |
| 20100082126 | CONTROL DEVICE, CONTROL PROGRAM, AND CONTROL METHOD According to one embodiment, a control device that controls operation of a system includes a first selecting module, a second selecting module, a control error measuring module, a determining module, and a control module. The first selecting module selects a first neura... | 04/01/2010 |
| 20100076607 | DATA CENTER THERMAL PERFORMANCE OPTIMIZATION USING DISTRIBUTED COOLING SYSTEMS The various embodiments described herein relate to systems and methods, circuits and devices for providing data center cooling while optimizing power usage effectiveness and/or compute power efficiency of the data center. The various embodiments can provide optimized th... | 03/25/2010 |
| 20100070098 | Method for the computer-aided regulation and/or control of a technical system, especially a gas turbine A method for the computer-aided regulation and/or control of a technical system is provided. In the method, first a simulation model of the technical system is created, to which subsequently a plurality of learning and/or optimization methods are applied. Based on the r... | 03/18/2010 |
| 20100042270 | ACTIVE PITCH CONTROL METHOD AND DEVICE FOR AN AIRCRAFT The device (1) comprises means (4) for calculating a pitch acceleration instruction depending on a pitch objective and means (5) for calculating, from this pitch acceleration instruction, a deflection instruction for the elevators (7) of the ... | 02/18/2010 |
| 20100030716 | System, Apparatus and Methods for Augmenting Filter with Adaptive Element A system in accordance with the invention uses an adaptive element to augment a filter for tracking an observed system. The adaptive element only requires a single neural network and does not require an error observer. The adaptive element provides robustness to paramet... | 02/04/2010 |
| 20090271344 | Method for computer-aided control or regualtion of a technical system A method for computer-aided control of any technical system is provided. The method includes two steps, the learning of the dynamic with historical data based on a recurrent neural network and a subsequent learning of an optimal regulation by coupling the recurrent neur... | 10/29/2009 |
| 20090070282 | METHOD AND SYSTEM OF MONITORING PROGNOSTICS A neural network learns the operating modes of a system being monitored under normal operating conditions. Anomalies can be automatically detected and learned. A control command can be issued or an alert can be issued in response thereto.... | 03/12/2009 |
| 20090037155 | Machine condition monitoring using a flexible monitoring framework A flexible framework and a corresponding user interface allow a user to configure a machine condition monitoring system. A user-configurable computation framework offers flexibility in designing the machine condition monitoring system. In this framework, every computati... | 02/05/2009 |
| 20080275831 | Bipedal Walking Simulation An artificial multiped is constructed (either in simulation or embodied) in such a way that its natural body dynamics allow the lower part of each leg to swing naturally under the influence of gravity. The upper part of each leg is actively actuated in the sagittal plan... | 11/06/2008 |
| 20080257349 | Multilevel Ventilator A method and apparatus for detecting breathing disorders and controlling a breathing ventilator using an artificial neural network working on signals indicative of a patient's physiological status. Preferably the artificial neural network works on a signal indicative of... | 10/23/2008 |
| 20080172349 | NEURAL NETWORK CONTROLLER WITH FIXED LONG-TERM AND ADAPTIVE SHORT-TERM MEMORY A controller for a plant having a fixed-weight recurrent neural network with at least one external input signal representative of a desired condition of the plant and actual condition of the plant, and an output connected as a control signal to the plant. The fixed recu... | 07/17/2008 |
| 20080097945 | NOVELTY DETECTION SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR REAL-TIME DIAGNOSTICS/PROGNOSTICS IN COMPLEX PHYSICAL SYSTEMS Sensors are configured to repeatedly monitor variables of a physical system during its operation. A novelty detection system is responsive to the sensors and is configured to repeatedly observe into an associative memory, states of associations among the variables that ... | 04/24/2008 |
| 20080046391 | Method for Developing a Process Model A neuronal network is trained using measurement data of state variables comprising measurement data from input channels and measurement data from at least one output channel. The neuronal network is tested using measurement data from the input channels and measurement d... | 02/21/2008 |
| 20080010020 | Method and System of Diagnosing Production Changes Method and system of diagnosing production changes. At least some of the illustrative embodiments are systems comprising a plurality of devices configured to measure production parameters associated with a hydrocarbon producing well, and a processor proximate to a wellh... | 01/10/2008 |
| 20070239641 | Information processing apparatus and method, and program Teaching to a robot for an action on an external object can be made easily and efficiently. According to the present invention, there is provided an information processing apparatus including a learning unit for learning a predetermined time-series pattern, an output un... | 10/11/2007 |
| 20070203862 | CONTROL APPARATUS AND CONTROL METHOD There is provided a control apparatus including a function of generating an operation signal applied to a control subject and a model that simulates characteristics of the control subject, a function of receiving an evaluation value signal calculated based on a measurem... | 08/30/2007 |
| 20070162404 | Intrinsically stable neuromorphic motion controller An intrinsically stable neuromorphic motion controller comprising of two an agonistic actuators coupled with paired torque and position sensors. Each mechanical linkage having at least one degree of freedom is actuated by two motors via two flexible tendons with built-i... | 07/12/2007 |
| 20070022068 | Neural networks for prediction and control Neural networks for optimal estimation (including prediction) and/or control involve an execution step and a learning step, and are characterized by the learning step being performed by neural computations. The set of learning rules cause the circuit's connection streng... | 01/25/2007 |
| 20060242095 | Diagnostic imaging apparatus, medical system and protocol managing method A diagnostic imaging apparatus includes a protocol alteration history recording unit, a protocol alteration information detecting unit and a protocol alteration information displaying unit. The protocol alteration history recording unit records alteration histories acco... | 10/26/2006 |
| 20060242096 | Medical operation system A medical operation system includes a controller for controlling a plurality of medical equipments, a communication unit for transmitting and receiving data between each of the plurality of medical equipments and the controller in two-way communications, an information ... | 10/26/2006 |
| 20060242094 | Radiography system, and program executable in console A radiography system has a console, wherein the console includes: a console communication unit to communicate via wireless communication with a cassette, the cassette including a cassette communication unit to communicate with the console via the wireless communication,... | 10/26/2006 |
| 20060224540 | Control apparatus for injection molding machine Test molding and mass-production molding are performed by an injection molding machine that includes a control apparatus in which neural networks are used. A quality prediction function determined based on the test molding is revised as necessary during mass-production ... | 10/05/2006 |
| 20060036559 | Training of a physical neural network Physical neural network systems and methods are disclosed. A physical neural network can be configured utilizing molecular technology, wherein said physical neural network comprises a plurality of molecular conductors, which form neural network connections thereof. A tr... | 02/16/2006 |
| 20050187643 | Parametric universal nonlinear dynamics approximator and use System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonline... | 08/25/2005 |
