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Advanced control systems homework help at an affordable price

Advanced control systems homework is broad and poses a big challenge to many students. For that reason, we offer affordable advanced control systems assignment help services to students from all parts of the world. Our services are 24/7, and this is made possible by the dedicated team of online advanced control systems homework helpers who work day and night to produce high-quality solutions. We offer free samples to clients should they doubt the quality of assignment help services we offer. Hire a tutor from us and get back original, easy-to-understand, quality solutions.
The exhaustive list of topics in Advanced Control Systems in which we provide Help with Homework Assignment and Help with Project is as follows:

  • Controller Configurations
  • Performance description of a control systems.
  • Time domain and frequency domain performance measures.
  • PID controller and its variants
  • Model based controller design.
  • PID controller design for single-input-single-output (SISO) processes.
  • PID controller design for two-input-two-output (TITO) processes.
  • Limitations of PID controllers.
  • PI-PD controller design for SISO processes.
  • PI-PD controllers design for TITO processes.
  • Effects of measurement noise and load disturbances
  • Improvement of disturbance rejection performances.
  • Identification of dynamic models of plants
  • Frequency domain based identification
  • Relay control system for identification
  • Describing function (DF).
  • DF of a relay
  • Critical gain and period
  • Estimation of process model parameters
  • General second order plus time delay model for stable
  • Unstable and integrating plants.
  • Off-line and on-line identifications
  • Off-line identification of plant models by DF method.
  • On-line identification of stable
  • Unstable and integrating plants.
  • Analytical expressions for on-line identification of stable
  • Unstable and integrating plants.
  • Model parameter accuracy and sensitivity.
  • Effects of static load and measurement noise during identification tests
  • Improved estimation using Fourier series and Wavelet transform.
  • Reviews of DF based identification methods.
  • Time domain based identification
  • State space analysis for identification
  • Accuracy in identification.
  • Analytical expressions for identification of stable
  • Unstable and integrating plants.
  • General analytical expressions for identification of stable
  • Unstable and integrating plants.
  • Special case: plant model possessing multiplicity of a pole.
  • Special case: plant model with RHP pole.
  • Special case: plant model having complex conjugate poles.
  • Estimation of dead time parameter of a transfer function model.
  • Exactness of identification in the face of measurement noise and static load disturbances.
  • Time domain based off-line and on-line identification.
  • Off-line identification of TITO plant models.
  • Reviews of time domain based identification.
  • Model-free controller design
  • Automatic tuning of industrial controllers
  • Advantages and limitations.
  • Frequency domain based on-line tuning of PID controller.
  • Frequency domain based PI-PD control design
  • Choice of start controller.
  • Design of PD and PI controllers
  • Choice of phase and gain margins.
  • Simulation studies on choice of start controller and phase & gain Margins.
  • Standard form based PI-PD controller design.
  • Advanced Smith predictor and controller.
  • On-line control of plants with dead time.
  • Software and hardware implementation of PID and its variants.
  • Real time application of the on-line tuning approaches
  • Field programmable analog arrays (FPAA).
  • FPAA based on-line tuning of industrial controllers
  • FPGA and DSP based on-line control techniques.