MATLAB Simulink

@Ryan15222

Hello, I’m a Control/Simulation Engineer with 5+ years of experience using MATLAB/Simulink and Control System Toolbox for dynamic system modeling, controller design, and performance analysis. I can build your complete state-space control model in MATLAB/Simulink, including: * Continuous-time state-space controller using A, B, C, D matrices * Matching discrete-time implementation with the specified sample time * Parallel architecture for direct continuous vs. discrete comparison * State, control-input and tracking-error scopes * Pre-compensators, observers and feedback structures where appropriate * Pole placement and controller gain tuning * Step/disturbance response analysis * Settling time, overshoot and stability verification * Clearly documented blocks and tunable parameters * Clean, organized Simulink model and short PDF/Live Script documentation I can also support a second phase involving automated parameter sweeps, gain optimization and Control System Toolbox analysis if required. Once you provide the plant dynamics and performance targets, I can build the model around your actual system rather than using a generic template. Best regards,

@divyam12345

Hello Dear, I understand your requirements and can build the continuous and discrete state-space controllers in Simulink R2023b. I can create parallel branches for comparison, add scopes for states, control inputs, and errors, and keep the model clearly organized and documented. I have experience with Control System Toolbox and pole placement. I can provide the Simulink model and a short PDF or Live Script explaining the setup and how to switch between both controllers. I look forward to working with you. Let’s connect in the chatbox for further discussions. Thank You. Dr. Divya.

@Tahir789

I am a Licensed Professional Electrical Engineer with 8+ years of MATLAB/Simulink experience in control system design, power systems modeling, and real-time system simulation. I have extensive hands-on expertise building state-space controllers, designing observers and compensators, and implementing both continuous-time and discrete-time control architectures in Simulink. I specialize in translating control theory into working Simulink implementations with clear, maintainable block organization. My background includes developing control models for power electronics, renewable energy systems, and industrial applications where side-by-side comparison of control strategies is critical for validation. For this project, I will build a complete Simulink model with parallel continuous-time and discrete-time state-space controllers organized into clean subsystems with clearly labeled A, B, C, D matrices. I'll include pre-compensators and state observers where appropriate for your control objectives, add interactive scopes and dashboards for real-time visualization of states, control inputs. Deliverables include the complete Simulink model (tested in R2023b), both continuous and discrete implementations verified against your performance indices, clear visualization dashboards, and comprehensive PDF or Live Script documentation. I am available immediately to start. Best regards, Tahir Saleem

@anjalio22

Give me one opportunity to handle your project. I have experience with MATLAB/Simulink, state-space modeling, control system design, simulation, and performance analysis. I can build both continuous-time and discrete-time state-space controllers in R2023b, with clearly organized A, B, C, D matrix subsystems, pre-compensators, observers, and parallel branches for direct comparison. I will add scopes/dashboards for states, control inputs, outputs, errors, step responses, and disturbance responses, while documenting parameters and blocks for easy future modifications. I can also verify settling time, overshoot, stability, and controller performance against your specified targets. Additionally, I can automate parameter sweeps and use Control System Toolbox techniques such as pole placement for optimization and comparison. I will deliver clean, error-free Simulink model files along with a PDF or Live Script explaining configuration and usage.

@tyronet2

You need one R2023b Simulink project that compares equivalent continuous and discrete state-space controllers under identical step and disturbance tests. I’ll structure the model with separate plant, controller, observer, reference pre-compensator, disturbance, and visualization subsystems, keeping all A/B/C/D matrices and gains in a clearly documented initialization script rather than hidden inside blocks. At Marin Software, I built parameter-driven real-time systems where repeatable testing and measurable outputs were essential. I’ll discretize the plant/controller at your specified sample time, validate controllability and observability, and compare states, inputs, errors, settling time, overshoot, and stability in parallel. Deliverables will include the named .slx model, parameter scripts, scopes/dashboard, test cases, and a short PDF or Live Script covering configuration changes. What are the plant matrices, sample time, and required settling-time and overshoot limits?

@GobindSawarn

I believe I can offer unique value to your MATLAB Simulink project even though my existing skill set doesn't directly involve control system design. Over the years, I have diligently honed my expertise in data entry and manipulation, which I consider will be particularly applicable for documenting every block of your Simulink model with unmatched thoroughness and clarity. I understand the importance of details in any technical project, and I am committed to ensuring that your model is easily understandable, maintainable, and tweakable even without deep knowledge of the project. While developing a website or working on a mobile application may seem like different domains, the essence of effective organization, clarity, and ease of use remains consistent. These qualities will be paramount as we build both continuous-time and discrete-time state-space controllers in parallel branches and include scopes or dashboards for key visualization. My experience with CMS development has sharpened my capacity to present complex information concisely, which you'll find invaluable in the short PDF or Live Script explaining how to switch between continuous and discrete configurations.