This paper proposes a linear constrained model predictive control (MPC) to solve the path
following problem for quadrotor unmanned aerial vehicles. In the controller, an augmented …

This study presents the nonlinear modeling and model predictive control of a new semi-
active hydro-pneumatic inerter-based suspension system (SAHPISS) for the first time. Unlike …

The key role of autonomous systems in future space missions has made model predictive
control a very attractive guidance and control technique. However, the capability of low …

This manuscript presents a new fuzzy approach applied to Model Predictive Control (MPC).
We propose to re-interpret the table of IF-THEN rules from an explicit MPC solution as an …

In the past two decades, Unmanned Aerial Vehicles (UAVs) have gained attention in
applications such as industrial inspection, search and rescue, mapping, and environment …

In this paper we show how to synthesize simple explicit MPC controllers based on
approximate dynamic programming. Here, a given MPC optimization problem over a finite …

We consider the problem of synthesizing simple explicit model predictive control feedback
laws that provide closed‐loop stability and recursive satisfaction of state and input …

As an important part of a power system, a load frequency control has to be prepared with a
better controller to ensure internal frequency stability. In this paper, an Internal Model …

This paper presents a new design of model predictive control which combines non‐minimal
state space (NMSS) and Laguerre functions. The utilization of NMSS omits the observer …

This paper addresses the problem of construction of the tunable robust positive invariant
sets in the framework of convex-lifting-based robust control. Moreover, the paper introduces …