Definitions for the Wider List of Subjects/Papers

Multivariable Control and the RGA
In normal usage, Feedback is simply a response to an undesirable effect by some corrective action. In a (Process) Control Feedback Control loop, the effect is a sensor measured quantity and the action is possibly some actuator/valve correction. The basic problem is then to design (or tune) a controller which is not befuddled by the delaying (dynamic) effects of the controlled process. A common result of bad tuning is a kind of cyclic overreacting (unstable) response.
But if several such (i.e. Multivariable) feedback control loops act together, the different loops can interact with each other in more adverse ways.The RGA helps, as a simple expression of the likely effects of such Multivariable interaction. For each possible combination of process valves and measurements, it suggests the likely kind of control reaction. In so doing it suggests how bad the problem will be and what is the best way of minimizing adverse effects (either by best pairing valves and measurements in feedback loops, or by using more complex controls).
Right Half Plane Zeros are a form of difficult dynamics common in Process Control, one instance being the pure delay of measured effect of the response to valve actions. A Right half Plane Zero represents the one theoretical barrier to perfect control (For example, nothing can undo a delay!). The RGA can indicate Right Half Plane Zeros caused by interaction. The second paper addresses further ways in which Right Half Plane Zeros can result in a Multivariable process.
PID Controller/Automatic Tuning/Adaptation
The basic Process Controller is the PID (named for the mathematical terms making up its combined action: Proportional, Integral, Derivative). Any controller needs to be "tuned" to fit the process to achieve the intended correction to the process's dynamic (delaying) effects. Because this requires effort and experience, controllers are quite commonly badly tuned. Automatic Tuning provides an automatic tunng action to reduce this problem. Adaptation is further designed to continually retune the process for changing circumstances.
Swinging Door

Trend Data with Compressed Data

Classically, Process Control supported operations with recorders which recorded key measurements as a trend line, over time, on a circular or strip paper chart. The digital control systems included corresponding trend line records, on console display monitors. But in the early days, the system had limited memory for this usage and so various crude strategies were used, to average long stretches of time, applied to support the trending with reduced memory. The Swinging Door compression was invented to allow more realistic recording, while reducing waste memory recording, and (even today) to allow more timely access to important features in the time record, for display or further processing.
Alarm Analysis/Abnormal Situation Operation
Process Control Operators are provided with alarm condition indicators in the form of lights with associated annunciator horns. These can address various kinds of safety or equipment protection applications. These are adequate when the appropriate corrective actions are well understood. But in large plants with ever reduced numbers of operating personnel, alarms can be related in causal streams, and multiple conditions can occur simultaneously. The resulting alarm storms can be too complex for human accommodation.
As a result Alarm Analysis, to better sort out alarm conditions, and the more inclusive Abnormal Situations Operation, covering any strategy for operating successfully in unfamiliar conditions, are of increasing interest. The described tools are intended to allow the operator better alarm monitoring, trending, and grouping capability, particularly when automatic or procedural training do not adequately fit, and when operator discretion and clear situational understanding is therefore critical.