UDS_Code

单片机初学者资料 51单片机C语言编程入门(详讲版)(Singlechip beginners )

用msp430f149控制实现的I2C的模拟通信控制，可以实现串口调试。(Msp430f149 control with I2C control of analog communication to achieve, you can achieve serial debugging.)

说明：  ALIENTEK STM32开发板SYSTEM文件夹，采用V3.5库的头文件，使得代码可以完美移植到库函数里面使用，不过注意，在新建工程的时候，请在：Options for Target-->C/C++ 选项卡里面 Preprocessor Symbols 栏定义你的STM32芯片容量。比如:ALIENTEK 战舰STM32开发板用户，使用的是大容量的STM32芯片，则在Define栏输入：STM32F10X_HD 对于STM32F103系列芯片，设置原则如下： 16KB≤FLASH≤32KB 选择：STM32F10X_LD 64KB≤FLASH≤128KB 选择：STM32F10X_MD 256KB≤FLASH≤512KB 选择：STM32F10X_HD(ALIENTEK STM32 development board SYSTEM folder, using V3.5 library header file, so that code can be perfectly transplanted to the library function to use, but note that in the new project, please: Options for Target - > C/C++ tab in the Preprocessor Symbols column to define your STM32 chip capacity. For example: ALIENTEK warship STM32 development board users, using a large capacity STM32 chip, in the Define column input: STM32F10X_HD For STM32F103 series chips, the setting principles are as follows: 16KB < FLASH < 32KB Selection: STM32F10X_LD 64KB < FLASH < 128KB Selection: STM32F10X_MD 256KB < FLASH < 512KB Selection: STM32F10X_HD)

说明：  ds2438电源检测芯片初始化，数据读取。(DS2438 power supply detection chip initialization, data reading.)

热敏电阻采样，实现对温度的闭环控制，包含PID算法的运用。(Thermistor sampling achieve closed-loop temperature control, including the use of the PID algorithm.)

C8051F02x的大量源程序示例代码，包括汇编和C的代码()

msp430控制DS18b20温度采集系统，并经过LED显示(msp430 ds18b20 led)

Robomaster ICRA AI机器人底层STM32代码，基于Freertos，适用于Robomaster A型开发板STM32F427IIHx(Robomaster ICRA AIRobot STM32code Freertos-Robomaster A Development Board STM32F427IIHX)

c写的51驱动160128液晶的测试实验(c wrote 51 drive 160,128 LCD)

The performance of controlled complex dynamic systems inevitably suffers from various disturbances and uncertainties. Moreover, different faults (sensor and actuator faults for example) can occur. Sliding mode based observers have shown high performance for states and parameter estimation robustness with regards to measurement noise even in the presence of unknown inputs. The aim of this Special Issue is to summarize and provide the recent advances in sliding mode based disturbance and parameter estimation, faults detection (DPEFD) and their attenuation. The proposed Special Issue will facilitate faster uptake of advanced sliding mode based DPEFD technologies, as well as address new challenges arising from upcoming complex control systems, and generate new theories and methodologies.