International Conference on Control System Design and Automation Process ICCSDAP on July 29-30, 2026 in Zurich, Switzerland

Sampled data systems
Samplers and holds
Pulse trains, aliasing, and impulse sampling
Z transforms
Z plane and stability analysis
Root locus in z plane
Pulse transfer functions
Open and closed loop response
Data extrapolators
Significance of pole positions
Bilinear transforms
Discrete equivalents of routh-hurwitz test and bode diagrams
Design of impulse compensators
PID, dahlin's, deadbeat and pole cancellation methods
Realization of algorithms.
State space
State variables, inputs and outputs
Companion matrix
Solution of state-space equations
State transition matrix
Eigenvalues and singularity
State-space analysis of multivariable systems
Multiloop systems and multivariable block diagrams
State-space representation of control systems
Transfer function matrices
Translation from continuous to discrete time representations
Impulse and pulse response matrix
Modal decomposition of the state space description

State feedback regulators
Constant gain state-feedback design using pole-placement method
Incorporation of reference signal
Full and reduced order observer design
Integration of controller and observer
Multivariable control
Structural properties of systems
Diagonalisation
De-coupling and canonical forms
Controllability and observability
Stability of systems
Design of control systems
Relative gain array
Singular value decomposition
Morari’s resilience index
Eigen structure assignment of control system design
Separation principle
Optimum control design
Quadratic regulators.

Adaptive control
Concepts of adaptive control
Adaptive control structures
Direct and indirect adaptation
Gain scheduling, model reference adaptive control and adaptive pole placement control
Overview of industrial adaptive controllers