Faster Digital System Design
MATLAB and Simulink products can help improve the process for Signal Processing, FPGA, ASIC, and SoC semiconductor design. Engineers use an extensive library of ** processing algorithms, data visualization functions, and an interactive user interface which makes the development of digital systems faster than using lower level languages such as C or C++.
The fixed-point design capabilities of MATLAB and Simulink help engineers quickly evaluate algorithm and system design alternatives – a process that is otherwise difficult and time-consuming. Links to popular Verilog® and VHDL® simulators enable engineers to reuse system-level models as trusted test harnesses which saves significant time on test bench construction and debugging.
对象动态建模和仿真
使用 MATLAB 和 Simulink 构建准确的对象模型。使用各种支持的建模方法描述对象的复杂动态，并针对对象的每个组件使用较合适的方法，以创建系统级的对象模型。
在不了解模型的详细结构时，使用系统辨识功能通过输入-输出数据评估对象动态。或者，使用物理建模工具创建复杂的多域对象模型，而*推导出原理方程。使用代表机械、电气、电磁、液压、气动和热组件的模块来绘制组件拓扑和系统的物理连接。
设计并调节反馈补偿器
分析和开发闭环补偿器，以及访问关键性能参数，如**调量、上升时间和稳定裕度。配平和线性化非线性 Simulink 模型。还可以建模和分析不确定因素对于模型性能和稳定性的影响。
利用波特图、根轨迹图和其他线性控制设计方法，并在仿真模型中或测试硬件上自动调节 PID 控制器。您可以使用预置工具自动调节分散的多变量控制器，并利用模型预测控制和稳健控制等高级控制策略。使用优化方法计算控制器增益，从而满足上升时间和**调量的约束条件。
设计和仿真调度逻辑
Stateflow 能够对控制系统中的调度逻辑进行建模、设计和模拟，以安排控制器的运转、控制系统的操作模式并执行故障检测、隔离与恢复 (FDIR)。
使用图形编辑器以状态机或流程图的形式构建逻辑。还可以将图形表示法和表格表示法（包括状态转换图、流程图、状态转换表和真值表）结合在一起，针对系统对事件、基于时间的条件以及外部输入信号的反应方式进行建模。通过使用状态图动画**显示模型中的活动状态和转移，来实现系统仿真行为的可视化。
Accelerate Analysis with High Performance Computing
MathWorks continues to accelerate large computations for big data problems by supporting the latest multithreaded hardware architectures. Using Parallel Computing Toolbox™, MATLAB Parallel Server™, and or MATLAB Production Server™, computer scientists and data analysts are getting answers faster than ever before by utilizing the high-performance computing power of multicore processors, GPUs, and compute farms.
Deploy and Integrate Data Analytics Models into Enterprise Applications
While MATLAB offers an environment for developing advanced data analysis and machine learning algorithms, these models and systems often must be deployed into the real world. MathWorks provides many different options for the deployment of MATLAB algorithms including generation of portable C/C++ code, compiled executables, web-based applications, or even integration to mobile apps.
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