Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the output scaling factor automatically thereby contributing to significant improvement in performance. Second controller (STPD+I_9) is the simplif...

The paper presents the derivation of a new robust multivariable adaptive controller, which minimises a cost function, incorporating system input, system output and set point. It provides an adaptive mechanism which ensures that both the closed-loop poles and zeros are placed at their pre-specified positions. The proposed design overcomes the shortcomings of other pole placement designs by combi...

Paper deals with implementation of self-tuning digital PID controller on general-purpose 8-bit Freescale 68HC908GB60 microcontroller which is a part of development board M68EVB908GB60 by Axiom Manufacturing. The process is identified using modified recursive least squares method with adaptive directional forgetting resulting in δ-model representation of controlled plant. This representation was...

In this paper, the synthesis of an Linear Matrix Inequality (LMI)-based stable fuzzy control system with pole-placement constraint is presented. The requirements of stability and pole-placement region are formulated based on the Lyapunov direct method. By recasting these constraints into LMIs, we formulate an LMI feasibility problem for the design of the fuzzy state feedback control system that...

In this paper a new approach is proposed to design locally optimal robust output-feedback controllers. It is iterative by nature, and starting from any initial feasible controller it performs local optimization over a suitably defined non-convex function at each iteration. The approach features the properties of computational efficiency, guaranteed convergence to a local optimum, and applicabil...

This paper compares the control performance of a distributed control system with variable sampling to actuation delay when using two different control solutions. The first one is a pole-placement controller with a fuzzy delay compensator and the second one an adaptive pole-placement with fractional dead-time modelling. The delay compensator is added to an existing controller that does not take ...

The previously developed Predictive Pole Placement (PPP) controller is modified to give enhanced numerical and stability properties by embedding the method in a linear-quadratic formulation to give a linear-quadratic PPP (LQPPP) controller. Input, output and state constraints are considered using an natural quadratic programming (QP) formulation of LQPPP. Illustrative examples are given. Copyri...

Thispaper presents a new nonlinear controller design method for regional pole placement of uncertain discretetime systems. The constraint of control input saturation is considered in the design. A sufficient condition is derived for the robust stabilization and the desireddynamic performance represented by the settling time and damping ratio.The design is formulated in terms of linear matrix in...