公开(公告)号：US20070260565A1

公开(公告)日：2007-11-08

申请号：US11620032

申请日：2007-01-04

申请人： Anthony Calise ,  Byoung-Soo Kim ,  J. Corban

发明人： Anthony Calise ,  Byoung-Soo Kim ,  J. Corban

IPC分类号： G06N3/02

CPC分类号： G05B13/027 ,  G05D1/0825

摘要： A computer system for controlling a nonlinear physical process. The computer system comprises a linear controller and a neural network. The linear controller receives a command signal for control of the nonlinear physical process and a measured output signal from the output of the nonlinear physical process. The linear controller generates a control signal based on the command signal, a measured output signal, and a fixed linear model for the process. The neural network receives the control signal from the linear controller and the measured output signal from the output of the nonlinear physical process. The neural network uses the measured output signal to modify the connection weights of the neural network. The neural network also generates a modified control signal supplied to the linear controller to iterate a fixed point solution for the modified control signal used to control the nonlinear physical process.

摘要翻译： 一种用于控制非线性物理过程的计算机系统。 计算机系统包括线性控制器和神经网络。 线性控制器接收用于控制非线性物理过程的命令信号和来自非线性物理过程的输出的测量输出信号。 线性控制器基于命令信号，测量输出信号和用于该过程的固定线性模型产生控制信号。 神经网络接收来自线性控制器的控制信号和来自非线性物理过程的输出的测量输出信号。 神经网络使用测量的输出信号来修改神经网络的连接权重。 神经网络还生成提供给线性控制器的修改的控制信号，以迭代用于控制非线性物理过程的修改的控制信号的固定点解。

公开(公告)号：US20070010902A1

公开(公告)日：2007-01-11

申请号：US11147671

申请日：2005-06-07

申请人： Anthony Calise ,  Byoung-Soo Kim

发明人： Anthony Calise ,  Byoung-Soo Kim

IPC分类号： G05B13/02

CPC分类号： G05B13/027 ,  G05D1/0825

摘要： A computer system for controlling a nonlinear physical process. The computer system comprises a linear controller and a neural network. The linear controller receives a command signal for control of the nonlinear physical process and a measured output signal from the output of the nonlinear physical process. The linear controller generates a control signal based on the command signal, a measured output signal, and a fixed linear model for the process. The neural network receives the control signal from the linear controller and the measured output signal from the output of the nonlinear physical process. The neural network uses the measured output signal to modify the connection weights of the neural network. The neural network also generates a modified control signal supplied to the linear controller to iterate a fixed point solution for the modified control signal used to control the nonlinear physical process.

摘要翻译： 一种用于控制非线性物理过程的计算机系统。 计算机系统包括线性控制器和神经网络。 线性控制器接收用于控制非线性物理过程的命令信号和来自非线性物理过程的输出的测量输出信号。 线性控制器基于命令信号，测量输出信号和用于该过程的固定线性模型产生控制信号。 神经网络接收来自线性控制器的控制信号和来自非线性物理过程的输出的测量输出信号。 神经网络使用测量的输出信号来修改神经网络的连接权重。 神经网络还生成提供给线性控制器的修改的控制信号，以迭代用于控制非线性物理过程的修改的控制信号的固定点解。

公开(公告)号：US20070135939A1

公开(公告)日：2007-06-14

申请号：US11675964

申请日：2007-02-16

申请人： Eric Johnson ,  Anthony Calise

发明人： Eric Johnson ,  Anthony Calise

IPC分类号： G05B13/02

CPC分类号： G05B13/04 ,  G05B13/027 ,  G05B13/041

摘要： The invention includes an adaptive control system used to control a plant. The adaptive control system includes a hedge unit that receives at least one control signal and a plant state signal. The hedge unit generates a hedge signal based on the control signal, the plant state signal, and a hedge model including a first model having characteristics of the adaptive control system and plant to which the adaptive control system is not to adapt. The hedge signal is used in the adaptive control system to remove the effects of the characteristics from a signal supplied to an adaptation law unit of the adaptive control system so that the adaptive control system does not adapt to the characteristics in controlling the plant.

摘要翻译： 本发明包括用于控制设备的自适应控制系统。 自适应控制系统包括接收至少一个控制信号和工厂状态信号的对冲单元。 对冲单元基于控制信号，工厂状态信号和包括具有自适应控制系统不适应的自适应控制系统和设备的特征的第一模型的套期保值信号生成套期信号。 在自适应控制系统中使用对冲信号来消除从提供给自适应控制系统的适应规则单元的信号中的特性的影响，使得自适应控制系统不适应控制设备的特性。

公开(公告)号：US20070286827A1

公开(公告)日：2007-12-13

申请号：US11761601

申请日：2007-06-12

申请人： Susan C. Sheariss ,  Edward Sobolewski ,  Phon Malone ,  Anthony Calise

发明人： Susan C. Sheariss ,  Edward Sobolewski ,  Phon Malone ,  Anthony Calise

IPC分类号： A61K8/81

CPC分类号： A61K8/35 ,  A61K8/02 ,  A61K8/37 ,  A61K8/38 ,  A61K8/49 ,  A61K2800/95 ,  A61Q3/00

摘要： An artificial nail composition containing multicarbonyl-vinyl containing monomer, polymerization initiator, and optical brightener. The invention also relates to the process of making the nail composition.

摘要翻译： 含有多羰基乙烯基的单体，聚合引发剂和荧光增白剂的人造指甲油组合物。 本发明还涉及制造指甲组合物的方法。

公开(公告)号：US20120277888A1

公开(公告)日：2012-11-01

申请号：US13460663

申请日：2012-04-30

申请人： Kilsoo Kim ,  Tansel Yucelen ,  Anthony Calise

发明人： Kilsoo Kim ,  Tansel Yucelen ,  Anthony Calise

IPC分类号： G05B13/02

CPC分类号： G05B13/0205

摘要： Systems and methods for adaptive control are disclosed. The systems and methods can control uncertain dynamic systems. The control system can comprise a controller that employs a parameter dependent Riccati equation. The controller can produce a response that causes the state of the system to remain bounded. The control system can control both minimum phase and non-minimum phase systems. The control system can augment an existing, non-adaptive control design without modifying the gains employed in that design. The control system can also avoid the use of high gains in both the observer design and the adaptive control law.

摘要翻译： 公开了用于自适应控制的系统和方法。 系统和方法可以控制不确定的动态系统。 控制系统可以包括采用参数依赖Riccati方程的控制器。 控制器可以产生使系统状态保持有界的响应。 控制系统可以控制最小相位和非最小相位系统。 控制系统可以增加现有的非自适应控制设计，而无需修改该设计中采用的增益。 控制系统还可以避免在观察者设计和自适应控制规律中使用高增益。

公开(公告)号：US20110251793A1

公开(公告)日：2011-10-13

申请号：US13028544

申请日：2011-02-16

申请人： Anthony Calise

发明人： Anthony Calise

IPC分类号： G06F19/00

CPC分类号： G01C21/165

摘要： The present invention relates to a method of providing a nearly continuously updated, on-line estimate of wind magnitude and direction when in turning flight and more particularly, relates to a method that requires only a GPS receiver and y- and z-body axis mounted gyros.

摘要翻译： 本发明涉及一种在转向飞行时提供几乎连续更新的风量和方向的在线估计的方法，更具体地涉及仅需要GPS接收机和安装了y轴和z体轴的方法 陀螺仪。

公开(公告)号：US20050137724A1

公开(公告)日：2005-06-23

申请号：US10961883

申请日：2004-10-08

申请人： Naira Hovakimyan ,  Anthony Calise ,  Venkatesh Madyastha

发明人： Naira Hovakimyan ,  Anthony Calise ,  Venkatesh Madyastha

IPC分类号： G05B13/02 ,  G05B13/04 ,  G06G7/00 ,  G06F15/18

CPC分类号： G05B13/027 ,  G05B13/04

摘要： A disclosed apparatus comprises an adaptive observer that has an adaptive element to augment a linear observer to enhance its ability to control a nonlinear system. The adaptive element comprises a first, and optionally a second, nonlinearly parameterized neural network unit, the inputs and output layer weights of which can be adapted on line. The adaptive observer generates the neural network units' teaching signal by an additional linear error observer of the nominal system's error dynamics. The adaptive observer has the ability to track an observed system in the presence of unmodeled dynamics and disturbances. The adaptive observer comprises a delay element incorporated in the adaptive element in order to provide delayed values of an actual output signal and a control signal to the neural network units.

摘要翻译： 所公开的装置包括自适应观测器，其具有用于增强线性观察者以增强其控制非线性系统的能力的自适应元件。 自适应元件包括第一和非必需的第二非线性参数化神经网络单元，其输入和输出层权重可以在线适配。 自适应观测器通过名义系统误差动力学的附加线性误差观测器产生神经网络单元的教学信号。 自适应观测器具有在存在未建模的动力学和扰动的情况下跟踪观测系统的能力。 自适应观察器包括并入自适应元件中的延迟元件，以便向神经网络单元提供实际输出信号和控制信号的延迟值。

公开(公告)号：US20060287782A1

公开(公告)日：2006-12-21

申请号：US11190425

申请日：2005-07-27

申请人： Daniel Preston ,  Anthony Calise

发明人： Daniel Preston ,  Anthony Calise

IPC分类号： G01C23/00

CPC分类号： G01C21/00 ,  G01C19/00

摘要： A system and method of guiding an aircraft is disclosed. The aircraft includes at least one non-rigidly attached sensor for providing a signal indicative of the angular rate of turn of the aircraft. The signal includes an oscillation component and an angular rate of turn component. A filter receives the signal from the sensor and attempts to remove the oscillation component found in the signal. A guidance system provides a commanded turn rate signal. A stability augmentation system receives the filtered angular rate of turn signal and the commanded turn rate signal and processes those signals to provide an actuator command signal. The actuator command signal can best be used to control an air vehicle activation device. The method involves receiving at least one signal indicative of an angular rate of turn of the aircraft from the sensor not rigidly suspended from an aircraft, wherein the signal includes an oscillation component and an angular rate of turn component. The signal is filtered to attenuate the oscillation component while a command a turn rate signal is received. Finally, the filtered signal and the commanded turn rate signal are processed to determine an actuator command signal.

摘要翻译： 公开了引导飞行器的系统和方法。 飞机包括至少一个非刚性附接的传感器，用于提供指示飞行器的转角的角速度的信号。 信号包括振荡分量和转向分量的角速率。 滤波器接收来自传感器的信号，并尝试去除信号中发现的振荡分量。 引导系统提供一个命令的转向率信号。 稳定性增强系统接收经过滤波的转角信号和指令转速信号的角速率并处理这些信号以提供致动器命令信号。 致动器指令信号可以最好地用于控制机动车辆启动装置。 该方法涉及至少接收一个信号，该信号指示飞行器从传感器转动的角速度不是从飞行器刚性悬挂的，其中信号包括振动分量和转向分量的角速率。 当接收到转向速率信号的命令时，该信号被滤波以衰减振荡分量。 最后，处理滤波后的信号和指令的转向速率信号，以确定致动器命令信号。

公开(公告)号：US20050182499A1

公开(公告)日：2005-08-18

申请号：US11105826

申请日：2005-04-12

申请人： Anthony Calise ,  Naira Hovakimyan ,  Moshe Idan

发明人： Anthony Calise ,  Naira Hovakimyan ,  Moshe Idan

IPC分类号： G05B13/02 ,  G06F15/18

CPC分类号： G05B13/027

摘要： An adaptive control system (ACS) uses direct output feedback to control a plant. The ACS uses direct adaptive output feedback control developed for highly uncertain nonlinear systems, that does not rely on state estimation. The approach is also applicable to systems of unknown, but bounded dimension, whose output has known, but otherwise arbitrary relative degree. This includes systems with both parameter uncertainty and unmodeled dynamics. The result is achieved by extending the universal function approximation property of linearly parameterized neural networks to model unknown system dynamics from input/output data. The network weight adaptation rule is derived from Lyapunov stability analysis, and guarantees that the adapted weight errors and the tracking error are bounded.

摘要翻译： 自适应控制系统（ACS）使用直接输出反馈来控制设备。 ACS使用针对高度不确定的非线性系统开发的直接自适应输出反馈控制，不依赖于状态估计。 该方法也适用于未知但有界尺寸的系统，其输出已知，但以任意相对度计。 这包括具有参数不确定性和未建模动力学的系统。 结果是通过将线性参数化神经网络的通用函数近似属性扩展到来自输入/输出数据的未知系统动力学来实现。 网络权重适应规则是从李亚普诺夫稳定性分析中得出的，并保证适应的权重误差和跟踪误差是有界的。